Protein Design & Biomolecular Models
Protein Design & Biomolecular Models. Recent publications parsed from OpenAlex.
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Discovering and designing multistate protein assemblies
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De novo design of light-controlled conformational protein switches
Discovered via OpenAlex
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Iterative Refinement for Structural Optimization of De Novo Protein Sequences
Discovered via OpenAlex
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Simulating protein evolution with programmable fitness objectives derived from modern protein models
Discovered via OpenAlex
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An Interactive Bidirectional De Novo Protein Design System
Discovered via OpenAlex
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Spatially enforced engagement of PD-1⁺ T cells with AXL⁺ cells reprograms the tumor microenvironment and overcomes anti-PD-1 resistance
Discovered via OpenAlex
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Function-preserving CD8⁺ T Cell Immunogenicity minimization through protein design
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Design Trade-Offs between Target Binding and Self-Association Revealed by De Novo SARS-CoV-2 Binders
Discovered via OpenAlex
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Advances in Application of ESM3 and Multimodal Generative Protein Language Models in Intelligent Design of Antimicrobial Peptides
Discovered via OpenAlex
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Computational Design and Evaluation of De Novo Protein Minibinders Targeting Specific Sites of STAT3
Discovered via OpenAlex
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Integrated AI-Guided de novo CDR-H3 Design and Combinatorial Phage Display for Antibody Discovery
Discovered via OpenAlex
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Design of full-length agonist and antagonist antibodies for hard targets
Discovered via OpenAlex
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Can Folding Models Tell Binders from Bluffers? Evidence from POISK: The Patent-Derived Antibody Dataset
Discovered via OpenAlex
Preprint source: bioRxiv: Bioinformatics
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Designing rigid protein fiducials to visualize GPCR conformational states
Discovered via OpenAlex
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Predicting protein electrostatics with protein language models
Discovered via OpenAlex
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Projected Gradient Descent for Hallucination-Based Protein Binder Design
Discovered via OpenAlex
Preprint source: bioRxiv: Bioinformatics
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UnibindMD: An Integrated AI and Molecular Dynamics Platform for De Novo Peptide Binder Design
Discovered via OpenAlex
Preprint source: bioRxiv: Bioinformatics
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Computational Peptide Design: Emerging Concepts in Antibiotics, Immunity, and Evolution
Discovered via OpenAlex
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HEIWA: Hybrid Explicit–Implicit Water Attention Affects Force Field Accuracy in Structure-Based Protein Language Model ESM3
Discovered via OpenAlex
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Computational De Novo Design of Miniprotein Candidate Neutralizers Targeting the IL-23 Cytokine Subunit p19
Discovered via OpenAlex
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Design and validation of nucleosome binding peptides using BindCraft
Discovered via OpenAlex
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From Waste to Wealth: Integrating Biological Systems and Molecular Intelligence for Lignin Valorization
Discovered via OpenAlex
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Neuron Mitochondria Targeted “Zipper Peptide” Delivery for VHL‐Inhibiting Therapy in Parkinson's Disease
Discovered via OpenAlex
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Active Learning framework for Antibody Binding Affinity Prediction
Discovered via OpenAlex
Preprint source: bioRxiv: Bioinformatics
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De Novo Design Peptide Probe Enables Super-Resolution Imaging of MFGE8−Integrin Nanoscale Signaling Platforms in Triple-Negative Breast Cancer
Discovered via OpenAlex
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VHH-Bench: A Benchmarking Framework for Evaluating Nanobody–Antigen Complex Predictions Across CDR3 Conformations
Discovered via OpenAlex
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Design of readers for pathological PTM proteoforms in Alzheimer’s disease
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De novo design of enantioselective artificial metalloenzyme photocatalysts
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Programmable design of functional proteins from natural language
Discovered via OpenAlex
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Structure–Function Relationships of Cid1 Poly(U) Polymerase: Catalysis, Substrate Recognition, Engineering, and Applications
Discovered via OpenAlex
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Fragment assembly-driven De novo engineering of cyclic peptide scaffolds for fluorescent biosensing: A novel strategy for small-molecule detection
Discovered via OpenAlex
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An AI-Driven Peptide Optimization Chatbot for Therapeutic Design: Integrating Machine Learning Models with Pharmaceutical Formulation Intelligence
Discovered via OpenAlex
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Sequence-only prediction of VHH nanobody epitopes and paratopes on HER2 with a frozen protein language model ( ESM2) and a structure-derived residue prior
Discovered via OpenAlex
Preprint source: bioRxiv: Bioinformatics
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Reliable and Efficient Agentic Protein Design with Toolset Harnessing
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Computational investigation of myoferlin-C2D-targeting potent peptides
Discovered via OpenAlex
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Bypassing Current Biosecurity Screens with AI Designed Proteins and Closing the Gap with Edge-AI Functional Screening
Discovered via OpenAlex
Preprint source: bioRxiv: Bioinformatics
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Holistic Design of Selective Photoenzymes with Genetically Programmed Sensitizers
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CHIEF: An Attention-based Ensemble Learning Framework for Functional Protein Inverse Folding
Discovered via OpenAlex
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Rapid assessment of chemical complementarity of ligands for protein design
Discovered via OpenAlex
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DeImmu-MPNN: Reducing Immunogenicity in De Novo Protein Design
Discovered via OpenAlex
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Native Mass Spectrometry-Based Proteoform Explicit Metrics System (PrEMS) Informs Structural Improvement of Artificial Photocyclase Enzymes
Discovered via OpenAlex
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Agents intuit enzyme design
Discovered via OpenAlex
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CAPO: Compute-Aware Automated Protein-Model Optimization
Discovered via OpenAlex
Preprint source: bioRxiv: Bioinformatics
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Aptamers as a sandbox for lab-in-the-loop agentic molecular discovery
Discovered via OpenAlex
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De novo design of protein binders targeting the human sweet taste receptor as potential sweet proteins
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
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MYC targeted de novo binders impair tumor growth
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Representation learning for low-data protein fitness prediction using sequence–structure embeddings and graph neural networks
Discovered via OpenAlex
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Real-time exploration of the billion-scale human repertoire for precursor frequency analysis and rational antibody design
Discovered via OpenAlex
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HighPlay3: Structure-Integrated de novo cyclic peptide design balancing binding affinity and membrane permeability
Discovered via OpenAlex
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De novo design of metalloenzymes using Metal Mer
Discovered via OpenAlex
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EZPro-Fit: A Thermophile-Informed Cross-Modal Generative Framework Integrating DNA Language and Protein Structure for Enzyme Mutant Design
Discovered via OpenAlex
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Revisiting Structure-Based Filtering for AI-Designed Antibodies: Opportunities, Limits, and What Matters
Discovered via OpenAlex
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Feature Engineering for Biological Sequence and Protein Structure Prediction
Discovered via OpenAlex
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Atomic functional site scaffolding in biopolymers with RFdiffusion3
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De novo design of photoenzymes with substrate-recognition-encoded enantioselectivity
Discovered via OpenAlex
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Poisoning the corpora of protein design systems during pre-training and retrieval
Discovered via OpenAlex
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Peptide agonist design from GPCR sequences
Discovered via OpenAlex
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Integrated sensor engineering and AI-assisted peptide design to target the Zika virus NS2B-NS3 protease
Discovered via OpenAlex
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Computational design of metalloproteases
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
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De novo design of cysteine proteases
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
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Medicinal Chemistry Strategies for Targeting RNA-Binding Proteins: Design, Optimization, and Therapeutic Potential
Discovered via OpenAlex
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Programming Targeted Immune Cell Migration Using Orthogonal Chemokine-Receptor Pairs
Discovered via OpenAlex
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InstructPro2: Natural Language and Biological Grounding Guided De Novo Protein Design
Discovered via OpenAlex
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ReproBAIT: Can coding agents build their own biological AI tools?
Discovered via OpenAlex
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De Novo Design of Enantioselective Artificial Metalloenzyme Photocatalysts Containing Metal Polypyridine Cofactors
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Computational design of protein conformational landscapes for metamorphic behavior
Discovered via OpenAlex
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Multi-Objective Amortized CDRH3 Sequence Sampling Diversifies Promising Antibody Candidates
Discovered via OpenAlex
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CP-GFM-SGX: Topology-Aware Cyclic Peptide Generation and Design with Receptor-Conditioned Structural Evaluation and Experimental KRAS Affinity Optimization
Discovered via OpenAlex
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Chain of Structures: Connecting Reasoning and Generation for Protein Design
Discovered via OpenAlex
Preprint source: bioRxiv: Bioinformatics
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Simulating Directed Evolution In Silico with an Iterative, Physics-Based Workflow
Discovered via OpenAlex
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Filling the Missing Puzzle: Integrating Interaction and Evolutionary Information to Enhance Protein Fitness Prediction in Inverse Folding
Discovered via OpenAlex
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PeTFlow: Flow-Matching Based All-Atom Peptide Design through Side-Chain State Tokenization
Discovered via OpenAlex
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DC-Flow: Target-Conditioned Cyclic Peptide Design via Delayed-Coupling Flow Matching
Discovered via OpenAlex
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Artificial Intelligence-Driven Nanobody Engineering for Pathogen Recognition: From Functional Epitope Prioritization to Multimodal Foundation Models
Discovered via OpenAlex
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De Novo Design of Flavoproteins with Controlled Excited State Dynamics
Discovered via OpenAlex
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Buried Ion-Pairs Reshape Folding Pathways of Artificial Proteins
Discovered via OpenAlex
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Joint Discrete and SE(3) Diffusion for Protein Interface Design
Discovered via OpenAlex
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De novo design of miniprotein inhibitors of bacterial adhesins
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De novo protein design in an expanded chemical space
Discovered via OpenAlex
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Designing Protein Structures from Natural Language
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Sequence Dependence of Folding and Self-Assembly of Glycine-X Repeat Peptides on Graphite
Discovered via OpenAlex
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AttentionRBP: Integrating Multimodal Features via Sparse Cross- Attention for RNA-Binding Protein Prediction
Discovered via OpenAlex
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Programming N-linked glycan composition through de novo protein design
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SMP103: a de novo-engineered macrocyclic peptide binder candidate targeting the virulence-associated transpeptidase Sortase A
Discovered via OpenAlex
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Generalizing Protein Fitness Prediction Across Distribution Shifts via Structural and Co-evolutionary Priors
Discovered via OpenAlex
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De novo design of monoclonal and bispecific antibodies with OFAntibody
Discovered via OpenAlex
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Machine Learning Empowers Enzyme Discovery, Structure Prediction, Engineering, and Design
Discovered via OpenAlex
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Enhancing the Activity of Ribokinase from Thermus sp. 2.9 Through Rational Design for the Cascade Synthesis of Modified Nucleotides and Nucleosides
Discovered via OpenAlex
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Complex enzyme active site scaffolding by iteratively detuned catalytic guidance
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PepRePs: Peptide-Retargeted Phosphatases Designed with Generative Language Models
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A diversified approach to the design of recombinant silk proteins for biomaterials
Discovered via OpenAlex
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Choosing protein design models with limited experimental measurements
Discovered via OpenAlex
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Joint protein, mRNA and DNA sequence design and optimization with nucleotide-level Potts models
Discovered via OpenAlex
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AI-Guided De Novo Design Pipeline for Oral, Gut-Active Peptides That Stimulate GLP-1 Secretion and Promote Weight Loss in Diet-Induced Obese Rats
Discovered via OpenAlex
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CLEAN Database: providing enzyme function coverage for over 55 million sequences
Discovered via OpenAlex
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Integrating deep learning model for precision design of MERS antibodies with augmented affinity against SARS-CoV-2
Discovered via OpenAlex
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PRIZM: Combining Low-N Data and Zero-shot Models to Design Enhanced Protein Variants
Discovered via OpenAlex
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Advances and applications of engineered protein therapeutics and their role in precision medicine
Discovered via OpenAlex
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Valid Stopping in Adaptive Generator-Verifier Loops
Discovered via OpenAlex
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Molecular Dynamics Simulations Empowered De Novo Design of Binding Peptide for Enhanced Direct Bioelectrocatalytic Oxygen Reduction
Discovered via OpenAlex
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Designing enzymes for new-to-nature chemistry and non-natural substrates with AlphaProtein Novo
Discovered via OpenAlex
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Bridging the Evidence-to-Execution Gap:A Reflective Agent for Multi-Objective Peptide Design
Discovered via OpenAlex
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Protein engineering in Brazil: a biophysical perspective
Discovered via OpenAlex
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Engineering a hemoglobin variant with enhanced stability and oxygen affinity using a protein language model
Discovered via OpenAlex
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Rate-Limiting Enzyme Design in Propionaldehyde Oxidation-Driven Dual-Cofactor Regeneration System
Discovered via OpenAlex
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Design-Evolution Synergy Enables New-to-Nature Enzyme Chemistry
Discovered via OpenAlex
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Evaluator-in-the-Loop Monte Carlo Tree Search via LLM Agents for Motif Scaffolding in Protein Design
Discovered via OpenAlex
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Collagen targeted self-anchoring antimicrobial molecular agents
Discovered via OpenAlex
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DRAMP 5.0: an update integrating sequence and structure in a novel FASTS format for AI-driven design of antimicrobial peptides
Discovered via OpenAlex
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De novo molecular design with agentic AI: Integrating tree search and iterative refinement
Discovered via OpenAlex
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Predictor-Guided Latent Space Codon Optimization for Maximizing Protein Expression
Discovered via OpenAlex
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Cross-Kingdom Chimeric Protein Engineering: Concepts, Design Challenges, Validation Strategies, and Opportunities for India
Discovered via OpenAlex
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CODesign: Consistency from Data to Trajectory in All-Atom Protein Binder Co-Design
Discovered via OpenAlex
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D1.3 Protein Engineering Proceeding (Summer schools on Protein Engineering 2026)
Discovered via OpenAlex
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Programming biological behavior with AI-guided de novo protein design
Discovered via OpenAlex
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Toward a reduced amino-acid alphabet: AI-guided isoleucine-free ribosomal protein design and its prospective relevance to green biomanufacturing
Discovered via OpenAlex
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Shared α-helix chimeraffibodies enable linker-free bispecific protein design
Discovered via OpenAlex
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Extracting Latent Sequence-Function Information from Directed Evolution to Design Improved C-H Azidases
Discovered via OpenAlex
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Adaptive and Bioresponsive Peptide-Functionalized Lipid-Based Nanocarriers for Precision Nanomedicine
Discovered via OpenAlex
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NRP1 interaction with AP2M1 promotes vascular calcification by driving endocytosis of PDGFRβ
Discovered via OpenAlex
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Snake venom toxins in cancer therapy: advances in targeted delivery and peptide design
Discovered via OpenAlex
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Function-preserving watermarking of AI-generated proteins
Discovered via OpenAlex
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Global analysis of thermal and chemical denaturation using CheMelt : Thermodynamic dissection of highly thermostable de novo designed proteins
Discovered via OpenAlex
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From scarce functional labels to label-aware generation in homologous protein families
Discovered via OpenAlex
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De Novo Engineering of pH-Conditional, Cross-Species EGFR Binders via Higher-Dimensional ToposLang and Pharmacological Lattice Quantisation
Discovered via OpenAlex
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Repurposing PeTriBERT for Protein–Protein Interaction Prediction with Sequence–Structure Fusion
Discovered via OpenAlex
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The anchor and the architect: Merging gene drive, membrane tethering and generative AI for next‐generation vector control
Discovered via OpenAlex
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What deep learning can and cannot (yet) do for enzyme design
Discovered via OpenAlex
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Antimicrobial Peptide Design with ProGen2 and Evolutionary Search
Discovered via OpenAlex
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GDSBM-AMP: Discrete Schrödinger Bridge for Antibacterial Peptide Design
Discovered via OpenAlex
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Antimicrobial peptide design
Discovered via OpenAlex
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Memorization in reaction-conditioned generative enzyme design: folding confidence, database identity, and docking all fail to detect it
Discovered via OpenAlex
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Antimicrobial peptide design by distribution matching
Discovered via OpenAlex
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PLM-Guided Masked Resampling for Antimicrobial Peptide Design
Discovered via OpenAlex
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Mechanisms, Discovery Strategies, and Emerging Opportunities for AI-Assisted Design of Peptides in Cosmetics and Skin Health
Discovered via OpenAlex
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CMD-AMP: Conditioned Masked Discrete Diffusion for Antimicrobial Peptide Design
Discovered via OpenAlex
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GeoEPred: A multimodal structure-aware geometric deep learning framework for Gram-negative bacterial secreted effector prediction with sequence semantics
Discovered via OpenAlex
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Probing the sequence variability tolerance in a de novo α-helical barrel biocatalyst
Discovered via OpenAlex
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Toward a minimal amino acid alphabet for protein design
Discovered via OpenAlex
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De novo design of protein antagonists of bacterial pathogen type III secretion system needle assembly
Discovered via OpenAlex
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MIMOSA: Guiding De Novo Antibody Design with Natural Interaction Fingerprints
Discovered via OpenAlex
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Lab to codes: multimodel advanced AI-driven pipelines to drive antimicrobial peptide design for the post-antibiotic era
Discovered via OpenAlex
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Advances in Antimicrobial Peptides: Design, Mechanism, and Clinical Application-A Critical Review
Discovered via OpenAlex
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Semi-Rational Design of CpNampt Mutants for Enhanced Nicotinamide Mononucleotide (NMN) Synthesis in Saccharomyces cerevisiae
Discovered via OpenAlex
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From Surfaces to Volumes: Registered Geometry for Protein Representation Learning
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De novo design of flexible protein interactions with GuideFlip
Discovered via OpenAlex
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AtomWeaver: Multi-Component Flow Matching with a Structured Geometric Prior Facilitates Non-Canonical Peptide Design
Discovered via OpenAlex
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SPINET: Sheaf Protein Inverse Folding Network
Discovered via OpenAlex
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Engineering extracellular matrix-mimetic recombinant proteins for stem cell niche and clinical translation
Discovered via OpenAlex
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PoCP: Pareto optimal Cyclic Peptide design with Monte Carlo Tree Guidance
Discovered via OpenAlex
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AbGaze: Attentive Geometric Representation Learning for End-to-End Antibody Design
Discovered via OpenAlex
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Mirror-Score: Calibrated, Inference-only Scoring Exposes the Limits of Sequence-compatibility Ranking in D-peptide Design
Discovered via OpenAlex
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LLM sequential decision making under uncertainty in biochemical domains
Discovered via OpenAlex
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Design of Wheat Protein-Derived Keap1-Targeting Antioxidant Peptides: Integrating Intelligent Screening, ProteinMPNN-Guided Sequence Optimization, and TAT-Fused Delivery
Discovered via OpenAlex
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PhiFold: Towards Dynamic Protein Design with Physics-Structured Covariance Modeling
Discovered via OpenAlex
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Evaluating Large‐Language Models in Bioinformatics Applications
Discovered via OpenAlex
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A designed ubiquitin-binding protein selectively enriches and visualizes unanchored ubiquitin
Discovered via OpenAlex
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Modular Metalloprotein Nanowires With Semiconductor‐Scale Conductivity and Tunable Redox Behavior
Discovered via OpenAlex
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Predicting single mutation effects on binding affinity at protein-protein interfaces based on MMPBSA calculations
Discovered via OpenAlex
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Spectral Feedback for Test-Time Alignment of Protein Diffusion Models
Discovered via OpenAlex
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PepSpace: An Automated, Physics-Driven Directed Evolution Platform for the De Novo Design of Specific Peptide Binders and Condensate Modulators
Discovered via OpenAlex
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Artificial Enzyme Design with an Abiological Salicylaldehyde Site Enables Biocatalytic Activation of Glycine Esters
Discovered via OpenAlex
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Fitting Boundary Detection: A Navigation Methodology for AI Systems from Closed-Set Fitting to New Knowledge Generation
Discovered via OpenAlex
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Protein Language Models: Learning From Evolution, Designing Beyond It
Discovered via OpenAlex
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SurfGraphPro: Integrating Protein Language Models with Geometric Deep Learning On Coarse Protein Surfaces for Binding Site Prediction
Discovered via OpenAlex
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Boltz2-Notebook: An Interactive Google Colab Platform for Diffusion-Based Biomolecular Structure and Binding Affinity Prediction using the Boltz2 model
Discovered via OpenAlex
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Agentic campaign control for high-throughput de novo binder design
Discovered via OpenAlex
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Effective Sequence-to-Expression Prediction for a Model Membrane Protein Using Machine Learning and Computational Protein Design
Discovered via OpenAlex
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An Automated Computational Factory for High-Confidence De Novo Protein Design: Multi-Temperature Sequence Design with Physics-Based Validation
Discovered via OpenAlex
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Design of a high-affinity IL-21 decoy receptor as a novel therapeutic strategy for autoimmune disorders
Discovered via OpenAlex
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AI-Assisted rational enzyme engineering: advancing biocatalysis for industrial applications
Discovered via OpenAlex
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NoroScope: Exploring the Mutational Landscape of the Human Norovirus Capsid Protein with Context-Aware Machine Learning
Discovered via OpenAlex
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Template‐Derived Engineering of Peptide Inhibitors Targeting HSP90–CDC37 Interface: A Theoretical Framework for Cancer Therapeutics
Discovered via OpenAlex
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Balancing Precursor Supply and Enhancing Enzyme Solubility for Efficient Production of ( S )-Reticuline in Escherichia coli
Discovered via OpenAlex
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De novo design of protease-activatable cytokine prodrugs
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Generative AI designs functional thiolation domains for reprogramming non-ribosomal peptide synthetases
Discovered via OpenAlex
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Intuitive enzyme design with LLM agents
Discovered via OpenAlex
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Machine Learned Interatomic Forces as Inference-Time Physical Guidance for All-Atom Diffusion Peptide Design
Discovered via OpenAlex
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Two-Stage Solubility Optimization of an Anti-VirB4 Nanobody: From Rational Mutagenesis to AI-Driven De Novo Design of a Single-Domain Antibody Macromolecule
Discovered via OpenAlex
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AI Protein Design of N-Acetylgalactosamine Deacetylase for Universal Blood Type Conversion
Discovered via OpenAlex
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Engineering a protein homodimer from a heterodimer: A chimeric DBHS protein
Discovered via OpenAlex
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Generating protein hydrogels with customizable stress relaxation behavior via deep learning-driven entanglement design
Discovered via OpenAlex
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Antibody Hotspot-Centric de Novo Design of Peptide Inhibitors of Influenza A Virus Membrane Fusion
Discovered via OpenAlex
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Integrated Transporter Engineering and Semi-Rational Enzyme Design in Corynebacterium glutamicum for High-Level Natural Blue Pigment Indigoidine Production
Discovered via OpenAlex
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Anisotropic Gold Nanoconjugates Bearing Immunoinformatically Designed T-Cell Epitope-Containing Peptides: Comparative Evaluation in THP-1 and Human Primary Macrophages
Discovered via OpenAlex
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AF-RECAL: Multi-Modal Structural Recalibration of AlphaFold 3 Hallucinations in Intrinsically Disordered Human Disease Targets
Discovered via OpenAlex
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REAPS: An All-Atom Receptor-Aware Geometric Deep Learning Framework for De Novo Design of Linear and Macrocyclic Peptide Binders
Discovered via OpenAlex
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Anticancer Peptides: Design Principles, Translational Bottlenecks, and Emerging Opportunities
Discovered via OpenAlex
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De Novo Design and Structural Optimization of Mn(salen)‐Based Artificial Metalloenzymes for Asymmetric Sulfoxidation
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Prospecting the protein design landscape
Discovered via OpenAlex
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Controlled Blood-Brain Barrier Modulation by a High-Affinity Claudin-5 Peptide Binder
Discovered via OpenAlex
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Evolutionary and structural pathways of antibody maturation reveal principles for engineering potent SARS-CoV-2 neutralizers
Discovered via OpenAlex
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Computational design of potent, broadly neutralizing anti-Nipah virus and Hendra virus miniproteins
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XL-MS and De Novo Protein Design Identified a Common Motif for TREM2 Binding
Discovered via OpenAlex
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Explainable Artificial Intelligence to Unveil Patterns of Antioxidant Peptides for Free Radical Regulation
Discovered via OpenAlex
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Diff-SelfA-PepGSI: A Diffusion-Based Framework for De Novo Generation, Screening, and Morphological Identification of Self-Assembled Peptide Sequences
Discovered via OpenAlex
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From Protein Design to the Energy Landscape of a Cold Unfolding Protein
Discovered via OpenAlex
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Artificial Intelligence-Aided De Novo Design of High-Affinity Protein Binders Against Shiga Toxin 2
Discovered via OpenAlex
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Development of a Translational Assay for Identification and Quantitation of Orthologous Proteins to Aid Drug Development in Preclinical Models
Discovered via OpenAlex
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Machine learned potentials with electrostatic embedding accurately capture Kemp eliminase reactivity
Discovered via OpenAlex
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A Turing-Style Test for In-Silico Antibodies: How Sampling Mode Makes WGAN-GP Beat VAE in the Wet Lab
Discovered via OpenAlex
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Sampling protein language models for functional protein design
Discovered via OpenAlex
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In Vitro Selection of Functional Neoproteins Containing Highly Fluorinated Cores
Discovered via OpenAlex
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Multistate Enzyme Design Enables Efficient and Stereoselective Multistep Catalysis
Discovered via OpenAlex
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OpenAI4S: Code as Action, Science as Sessions
Discovered via OpenAlex
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MPNN-Guided Redesign of PET Hydrolases with Enhanced Catalytic Activity below the PET Glass Transition Temperature
Discovered via OpenAlex
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Aminoacyl-tRNA synthetase urzymes optimized by deep learning behave as a quasispecies
Discovered via OpenAlex
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Discovery of an antagonist nanobody targeting the oxytocin receptor with tocolytic effect in mice
Discovered via OpenAlex
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Multidrug resistance regulators (MDRs) as emerging scaffolds for artificial enzyme design
Discovered via OpenAlex
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Systematic optimization of Komagataella phaffii (Pichia pastoris) for high-efficiency recombinant protein production: Advancements in strain engineering, fermentation optimization, and AI-driven technologies
Discovered via OpenAlex
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Chemical Descriptors and Deep Learning Embeddings for Scoring de novo Peptide Designs
Discovered via OpenAlex
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De novo design of allosterically controlled enzymes
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A design science framework for alternative proteins: coupling ingredient functionality, processing physics, and predictive modeling
Discovered via OpenAlex
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Closed-Loop Multi-Objective Optimization for Receptor-Selective Cell-Penetrating Peptide Design
Discovered via OpenAlex
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EnZight: A Structure-Guided Algorithm to Identify and Prioritize Substitution Hotspots for Enzyme Engineering
Discovered via OpenAlex
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MutexaGPT: an intuition-to-design translator for physics-based enzyme engineering
Discovered via OpenAlex
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Sequence and structural determinants of efficacious de novo chimaeric antigen receptors
Discovered via OpenAlex
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Mechanism-Guided Antimicrobial Peptide Design through Membrane-Surface Fingerprinting and Graph Diffusion
Discovered via OpenAlex
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Data-driven strategies for enzyme engineering: From machine learning to protein language models
Discovered via OpenAlex
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Specificity-driven protein binder design with Odin-Multi
Discovered via OpenAlex
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De novo Rubisco design with protein language models
Discovered via OpenAlex
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Empirical Geometry-Guided Modeling Enables Robust, High-Throughput Collagen Structure Prediction
Discovered via OpenAlex
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Programmable crosslinking strategies for the rational design of engineered protein hydrogels
Discovered via OpenAlex
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Joint optimisation of amino acid and coding sequence for de novo designed proteins
Discovered via OpenAlex
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Protein Design Viz (PDV): lightweight protein structure visualization studio with validated quantitative analytics and antibody-specific toolkit
Discovered via OpenAlex
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RFOptimization: Guiding Design Optimization with All-Atom Structure Prediction
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Advancing knotted protein design with ESM3: guided generation and topological insights
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.4 Transformer-based · 5.Function to Sequence
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Flagellar pocket receptors as entry point for protein-based drugs against kinetoplastid parasites
Discovered via OpenAlex
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Inverse FoldDir: Structure-conditioned Protein Sequence Design by Dirichlet Flow Matching
Discovered via OpenAlex
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De Novo Design and AlphaFold3 Evaluation of Protein Binders Targeting Specific Sites of MAP4K4
Discovered via OpenAlex
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Agentic BAIM-LLM Evaluation (ABLE): Benchmarking LLM Use of Protein Design Tools
Discovered via OpenAlex
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Molecular engineering of single-cell proteins for precision functional food design: Linking cellular architecture, protein structure, digestibility, and techno-functional performance
Discovered via OpenAlex
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Evolutionary Dynamics-Aware De Novo Design of a Thermostable NS1-Derived Diagnostic Protein for Yellow Fever Virus
Discovered via OpenAlex
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CatESO: Differentiable Enzyme Sequence Optimization Guided by Substrate-Aware K cat Prediction
Discovered via OpenAlex
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BAGEL-CAR: Reflections on the Bits to Binders Competition
Discovered via OpenAlex
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Graph-based representations in modern protein science
Discovered via OpenAlex
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ProRB: a structure-free unified framework for joint prediction and design of protein–RNA interactions
Discovered via OpenAlex
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De novo designed single-domain antibodies protect against lethal cobra venom neurotoxicity in vivo
Discovered via OpenAlex
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De novo design of CR2 binder as vaccine scaffold
Discovered via OpenAlex
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De novo design of ligand binding proteins using large language models alone
Discovered via OpenAlex
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SimpleDesign: A Joint Model for Protein Sequence and Structure Codesign
Discovered via OpenAlex
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The physical foundation beneath protein generative modeling
Discovered via OpenAlex
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High-dimensional HIV-1 quasispecies modeling guides escape-proof antibody design
Discovered via OpenAlex
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Comprehensive Evaluation of Protein Language Model Embeddings for Drug–Target Affinity Prediction
Discovered via OpenAlex
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Non-standard proteins in the lens of AlphaFold 3: a case study of amyloids
Discovered via OpenAlex
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Creating bottom-up RNA transfer vehicles from synthetic protein assemblies
Discovered via OpenAlex
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Design of aptamer peptides for immunomodulation
Discovered via OpenAlex
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The Evolution of Artificial Intelligence in Antibody Design: From Structure-Based Engineering to Generative Models
Discovered via OpenAlex
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Dissecting the limitations of AlphaFold3 confidence metrics for de novo antibody design selection
Discovered via OpenAlex
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AI-driven innovation and applications in crop breeding technology
Discovered via OpenAlex
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SymFold: Synergizing Evolutionary and Structural Priors for Accurate Protein Inverse Folding
Discovered via OpenAlex
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Extremozymes for food fermentation: Integrating AI, metagenomics, and protein engineering
Discovered via OpenAlex
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EquiDesign: a versatile computational framework for de novo protein sequence design
Discovered via OpenAlex
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Computational Platforms for Membrane-Active Peptide Therapeutic Design
Discovered via OpenAlex
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A surrogate-assisted multi-objective optimization algorithm for antibody design with multi-source datasets
Discovered via OpenAlex
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Tumor microenvironment-directed novel checkpoint strategies in esophageal squamous cell carcinoma: a narrative review on current status and limitations
Discovered via OpenAlex
-
Deep Learning for Protein Modeling: From Single Structure to Bound Complex and Thermodynamic Ensemble, With a Focus on Architectural Design
Discovered via OpenAlex
-
Efficient matching of predicted protein structures into high to intermediate resolution CryoEM maps with Slice’N’Dice and ABCFold
Discovered via OpenAlex
-
Surf2Spot: a surface-informed geometry-aware model for predicting partner-independent binder and nanobody design hotspots
Discovered via OpenAlex
-
Design of peptides with noncanonical amino acids using flow matching
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.8 Flow-based
-
Upcycling Vegetable Waste Into Functional Food Ingredients via Synergistic Microbial Engineering and Artificial Intelligence
Discovered via OpenAlex
-
Benchmarking unsupervised protein mutational effect predictors: practical guidelines for protein engineering and reduced accuracy at beneficial residues
Discovered via OpenAlex
-
An AI-Designed Lysosomal Degradation System Targeting HIV-1 Reverse Transcriptase: A New Strategy for Achieving Functional Cure
Discovered via OpenAlex
-
Minimal-alphabet proteins by evolution, engineering, and design
Discovered via OpenAlex
-
SA-MPNN: A Sequence-Aware ThermoMPNN for Accurate Prediction of Mutational Effects on Protein Thermodynamic Stability
Discovered via OpenAlex
-
Programmable protein degraders enable selective knockdown of pathogenic β-catenin subpopulations in vitro and in vivo
-
The first OpenBind release: An open experimental structure–affinity dataset and benchmark for structure-based AI
-
A programmable lipid-triggered allosteric site modulates LC3 LIR receptor binding activity
Discovered via OpenAlex
-
FoldKit: A Python library for efficient storage and retrieval of co-folding predictions
Discovered via OpenAlex
-
DyAb: sequence-based antibody design and property prediction in a low-data regime
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 2. Model-based design · 2.4 LLM-based
-
RFdiffusion-designed CLDN18.2 T-cell engager coupled with dendritic-cell supplementation enhances antitumor immunity in gastric cancer
Discovered via OpenAlex
-
PMPNN-DDG: an accurate machine learning-based ΔΔ G prediction pipeline trained on a novel interpretable feature set extracted from ProteinMPNN
Discovered via OpenAlex
-
WaterFlow: Prediction of Ordered Water Molecule Positions on Protein Structures
Discovered via OpenAlex
-
Assessment of generative de novo peptide design methods for G protein-coupled receptors
Discovered via OpenAlex
-
Formulation Strategies for Next-Generation Bispecific Antibodies: Design Considerations and Stability Implications
Discovered via OpenAlex
-
Enhancing De Novo Designed Peptides and Proteins via Irreversible Covalent Isoquinolinium Capture
-
A Mammalian High-Throughput Screen for AI-Designed Peptide-Guided Protein Degraders
-
Programmable De Novo Design of Mesoporous Protein Crystal Frameworks
-
Enhanced Sampling of Protein Conformations in AlphaFold3 with Repulsive Bias in the Diffusion Generative Model
Discovered via OpenAlex
-
De Novo Design of a Protein Binder to Probe Gas Channel and Enhance the Oxygen Tolerance of [NiFe]‐Hydrogenase
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
SPICE: Physics-supervised reinforcement learning for environment-adaptive protein design
Discovered via OpenAlex
-
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
Discovered via OpenAlex
-
Data for: Programmable De Novo Design of Mesoporous Protein Crystal Frameworks
-
Special Issue “New Insights into Bioactive Peptides: Design, Synthesis, Structure–Activity Relationship (2nd Edition)”
Discovered via OpenAlex
-
Research EnzyPred: a general model for predicting enzyme–substrate interactions using deep learning, parallel LoRA, and, natural language processing-inspired approaches
Discovered via OpenAlex
-
AI-Driven Enzyme Engineering: A Data-Efficient Framework for Designing Next-Generation Biocatalysts
Discovered via OpenAlex
-
Recent advances in fabrication strategies, functional modulation and healthcare applications of native protein-based hydrogels
Discovered via OpenAlex
-
Engineering Dual Peptide-Decorated Extracellular Vesicles to Enhance Retention and Functional Recovery After Myocardial Infarction
Discovered via OpenAlex
-
Engineering and design of artificial enzymes for non-natural biocatalysis in whole cells
Discovered via OpenAlex
-
A third-generation, high-affinity biparatopic anti-tau antibody inhibits intracellular tau aggregation seeded by Alzheimer’s brain extracts
Discovered via OpenAlex
-
Natural-Language-Guided Generator-Agnostic Shortlisting for Protein Binder Design
Discovered via OpenAlex
-
Access to all stereoisomers of chiral alcohols with multiple stereocentres enabled by machine learning-empowered protein engineering
Discovered via OpenAlex
-
Accelerating protein engineering: an integrated framework combines protein language models and epistatic landscape modeling
Discovered via OpenAlex
-
From Code to Cure: Computationally Designed BMP-2 Binders Using AI-Integrated Pipelines for Controlled Bone Regeneration
Discovered via OpenAlex
-
Accelerating protein design by scaling experimental characterization
Curated by Papers for Protein Design Using Deep Learning · 4.5 GNN-based · 4.Scaffold to Sequence
-
AI-enabled discovery and biochemical optimization of minibinders targeting cancer cell-surface proteins
Discovered via OpenAlex
-
Towards high-throughput protein design.
Discovered via OpenAlex
-
AI-Powered Drug Discovery A Framework for Accelerating Peptide Therapeutics Development
Discovered via OpenAlex
-
CLDN18.2 antibody design with protein language models: A deep learning optimization framework
Discovered via OpenAlex
-
HighMorph: De Novo Cyclic Peptide Sequence Design via Protein–Protein Interaction Recapitulation
Discovered via OpenAlex
-
FAR-DPO: Feasibility-Aware and Robust Direct Preference Optimization for Cyclic Peptide Design
Discovered via OpenAlex
-
To ML-Predict or Not to ML-Predict: The Impact of Machine Learning-Predicted Protein Structures on FEP Accuracy and Data Augmentation
Discovered via OpenAlex
-
Mechanism-guided engineering of food-derived anti-fatigue peptides from molecular design to protease-constrained production
Discovered via OpenAlex
-
β-lactoglobulin a new whey: Computational redesign improves stability and nutritional composition
Discovered via OpenAlex
-
Leveraging generative hallucination and biophysics-informed modeling for unified biomolecular sequence-structure co-design
Discovered via OpenAlex
-
Protein Structure Prediction: From Evolutionary Constraints to Generative Modeling
Discovered via OpenAlex
-
Structure-Based Design of First Ndc80 Loop-Targeting Peptide Disrupting Ndc80–Nuf2 Interaction for Hepatocellular Carcinoma Therapy
Discovered via OpenAlex
-
Sequence-Directed Hierarchy of Supramolecular Peptide Bilayers and Heme Cofactor Insertion
Discovered via OpenAlex
-
Structure‐ and deep learning–guided engineering of a size‐minimized CRISPR /Cas
Discovered via OpenAlex
-
Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search
Discovered via OpenAlex
-
De novo design of autocatalytically forming intra- and intermolecular isopeptide bonds to construct rigid covalent protein assemblies
-
FAF1 and FAF2 enhance unfolding by p97-UFD1-NPL4 complex enabling rational design of p97 activators
Discovered via OpenAlex
-
Valhalla: A Layered Knowledge-State and Service-Governance Framework for Long-Term Scientific Knowledge Work
Discovered via OpenAlex
-
A Computational Framework for Erythropoietin Protein Synthesis and Optimization: Integrating Protein Language Models, AlphaFold3 Structural Prediction, and Bayesian Optimization
Discovered via OpenAlex
-
Bridging linguistic reasoning and biophysical reality toward peptide engineering via instruction-tuned language modeling
Discovered via OpenAlex
-
Protein design to broadly reprogram engineered T cell function
-
Redesign of energetically frustrated regions rescues function in defective T4 clamp loaders
Discovered via OpenAlex
-
Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders
Discovered via OpenAlex
-
IgY as a versatile antibody platform for precision diagnostics and targeted biotherapeutics: a review
Discovered via OpenAlex
-
MMAllo: a multimodal deep learning framework and GaMD simulations for predicting protein allosteric sites and allosteric mutations
Discovered via OpenAlex
-
On the generalization and usability of cofolding models for GPCR drug discovery
Discovered via OpenAlex
-
Beyond Branching: Unlocking the Catalytic Versatility of Branching Enzymes for the Design of Diverse α-Glucan Structures
Discovered via OpenAlex
-
Tau Protein Pathology and Tau-Targeted Therapeutic Strategies in Alzheimer’s Disease: Mechanisms, Clinical Evidence and Future Perspectives
Discovered via OpenAlex
-
MAP Crosslinker Chirality Regulates Macrophage Polarization Through MD‐2 Engagement and Enables Tunable Immunomodulation Through Novel Peptide Design
Discovered via OpenAlex
-
Machine-Learning-Guided Design of Antifreezing Peptides
Discovered via OpenAlex
-
Single cell mapping of B and T cell dynamics in breast cancer lymph node metastasis
Discovered via OpenAlex
-
IL-2 mutein-engrafted antibody MHS552 selectively expands functional regulatory T cells in nonclinical models and healthy participants
Discovered via OpenAlex
-
How to Spend Your Oracle Budget: Practical Guidance for Protein Structure Prediction Models
Discovered via OpenAlex
-
NDST1 as a substrate-reduction target in Mucopolysaccharidosis type IIIC: virtual screening, microsecond molecular dynamics, and peptide design
Discovered via OpenAlex
-
[Re] Robust deep learning–based protein sequence design using ProteinMPNN
Discovered via OpenAlex
-
An Artificial Intelligence Model for Translating Natural Language into Functional De Novo Proteins
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.4 Transformer-based · 5.Function to Sequence
-
The sweet spot in protein design—Where deep learning meets first principles
Discovered via OpenAlex
-
Targeting the ERO1A–PDIA1 redox axis in triple-negative breast cancer with AI-designed minibinders
Discovered via OpenAlex
-
PepGate: A Dual-Path Diffusion Framework for ACE Inhibitory Peptide De Novo Design
Discovered via OpenAlex
-
Intentional Fibonacci-Lucas-guided peptide design as a prospective experimental factor: A falsifiable, patient-centred framework for GLP-1, GIP and related therapeutics within the Geier equilibrium programme (A first approach)
Discovered via OpenAlex
-
Prediction of Distal Mutation Effects in Enzymes via Integration of Molecular Dynamics Descriptors and Zero-Shot Model
Discovered via OpenAlex
-
Calreticulin-targeting L-asparaginase-flagellin conjugate enhances Salmonella-mediated antitumor efficacy
Discovered via OpenAlex
-
Plastic-degrading enzymes: Advances, challenges, and industrial prospects in enzyme engineering and computational design
Discovered via OpenAlex
-
Enzyme Engineering: From Classical Strategies to AI-Driven Biocatalyst Design
Discovered via OpenAlex
-
Safety first: input screening for protein design tools
Discovered via OpenAlex
-
De novo design of a protein fold for small-molecule binding through aromatic π stacking
Discovered via OpenAlex
-
Coevolution-informed Bayesian optimization for sample-efficient protein design
Discovered via OpenAlex
-
AI Designed Conformation Locking Peptides Target STING to Restore Diabetic Wound Healing
Discovered via OpenAlex
-
Drug Repurposing and De Novo Novel Monoclonal Antibody Design for Chikungunya Virus: A Two-pronged Bioinformatics Analysis
Discovered via OpenAlex
-
Microbial lipases: advances in metagenomics and artificial intelligence for enzyme discovery and engineering
Discovered via OpenAlex
-
Local energetic frustration: Protein evolution, conformational dynamics and design in the age of AI
Discovered via OpenAlex
-
Co-folding models localize enzyme active sites but fail to accurately predict enzyme–substrate complex structures
Discovered via OpenAlex
-
Soluble protein analog selection engine (SPASE) : An automated AI ‐powered server to improve protein engineering workflows
Discovered via OpenAlex
-
Fibrilpaint: A Class of Amyloid‐Targeting Peptides
Discovered via OpenAlex
-
Allosteric effects of CDR-H3 mutations modulate binding and neutralization of a conserved SARS-CoV-2 RBD-targeting antibody
Discovered via OpenAlex
-
Computational design of multi-objective optimized peptide disrupting Tim-3 galectin9 checkpoint
Discovered via OpenAlex
-
Dual-Specific Antibody Design Using Artificial Intelligence
Discovered via OpenAlex
-
De novo design of small-molecule–induced conformational change
-
AI-driven de novo protein design coupled with high-throughput screening: Challenges and opportunities
Discovered via OpenAlex
-
Blending physics-based and inverse folding models to disentangle variant effects on stability and function
Discovered via OpenAlex
-
Peptide Therapeutics for Solid Tumors: Functional Classes, AI‐Enhanced Discovery and Clinical Advances
Discovered via OpenAlex
-
HaloMPNN: retraining ProteinMPNN on halophilic proteomes for salt-tolerant enzyme design
Discovered via OpenAlex
-
Seed-Guided De Novo Design Expands the Structural Diversity of Antitoxin Protein Binders
Discovered via OpenAlex
-
Integrated Machine Learning, Molecular Docking, and Molecular Dynamics Simulations Design Novel Peptide Inhibitors of Rabies Virus Glycoprotein
Discovered via OpenAlex
-
Peptide-Functionalized Gold Nanoparticles Targeting PD-L1: Design via a Molecular Dynamic Driven Approach and Further Experimental Validation
Discovered via OpenAlex
-
Biomimetic engineering of a fortified ice composite with enhanced mechanical properties
Discovered via OpenAlex
-
Intra-Protein Interfaces Control Folding Dynamics and Mechanical Stability in a De Novo Designed Repeat Protein
Discovered via OpenAlex
-
HMRLBA: A hierarchical multi-scale representation learning model for predicting protein-ligand binding affinity
Discovered via OpenAlex
-
Synthetic sequence alignments as programmable probes of learned conformational landscapes in deep learning protein structure predictors
Discovered via OpenAlex
-
Advances in de novo protein design for anti-infective applications
Discovered via OpenAlex
-
High-throughput engineering of bispecific antibodies to enhance macrophage-mediated cytotoxicity of B-cell lymphoma
Discovered via OpenAlex
-
Optimized Multiple Circular Sequence Alignment for Cyclic Peptide Motif Discovery
Discovered via OpenAlex
-
Artificial Intelligence-Driven De Novo Peptide Drug Design: Architectures, Pipelines, and Translational Challenges
Discovered via OpenAlex
-
A computational framework integrating a protein language model with alchemical simulation for gain-of-function enzyme design
Discovered via OpenAlex
-
A modular platform for scalable recombinant production of highly toxic bacterial proteins
Discovered via OpenAlex
-
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.1 MLP-based · 4.Scaffold to Sequence
-
Beyond Generic Signal Peptides: ApexSP Enables Cargo-Specific Secretion Design
Discovered via OpenAlex
-
Miniaturizing and modifying natural proteins with Raygun
Discovered via OpenAlex
-
Generative artificial intelligence for enzyme design and biocatalysis
Discovered via OpenAlex
-
Prebiotic cationic amino acids support formation of an ancient protein fold
Discovered via OpenAlex
-
Integrating protein language model with alchemical simulation for gain-of-function enzyme design
Discovered via OpenAlex
-
Recent advances in multimodal foundation model-enabled peptide screening and optimization for smart biomaterials and functional tissue engineering
Discovered via OpenAlex
-
Property guidance for protein sequence generative models with ProteinGuide
Discovered via OpenAlex
-
Reliability of AI Methods in Drug Discovery: Evaluation of Boltz-2 for Structure and Binding Affinity Prediction
Discovered via OpenAlex
-
Transplanting enzyme active site geometry into antibody CDRs for catalytic antibody design
Discovered via OpenAlex
-
Integrating Tumor Targeting and Half-Life Extension into a Dual-Surfaced Single-Domain ADAPT Protein
Discovered via OpenAlex
-
Artificial intelligence catalyzes antimicrobial peptide design
Discovered via OpenAlex
-
A biologically informed antibody language model framework to simulate somatic hypermutation and guide native-like antibody design 2309391
Discovered via OpenAlex
-
Experimental Validation of Variant Antibodies Guided by a Large Language Model and Optimized through Combinatorial Algorithms 2307181
Discovered via OpenAlex
-
Structural Insights and Immunogenic Enhancement of KRAS Neoantigen Recognition by TCRs in Cancer Immunotherapy 2260081
Discovered via OpenAlex
-
Sequence determinants of pathogenicity in glucose-6-phosphatase linked to glycogen storage disease type 1a
Discovered via OpenAlex
-
EnerBridge-DPO: Energy-Aware Markov Bridge Inverse Folding for Protein Sequence Design
Discovered via OpenAlex
-
Protein-engineered Proteus myxofaciens L-amino acid deaminase synergized with magnetic nano-immobilization for efficient green synthesis of α-keto acids
Discovered via OpenAlex
-
BioEnzyme Designer: A Python CLI Tool for Computational Enzyme Engineering via ML-Based Catalytic Efficiency Prediction and Optimized Mutation Scoring
Discovered via OpenAlex
-
SimBinder-IF: structure-aware antibody affinity optimization via efficient preference learning
Discovered via OpenAlex
-
Structural and Stability Analysis of de Novo Designed Proteins Incorporating a Plant Self‐Incompatibility Motif
Discovered via OpenAlex
-
Deep Learning and Artificial Intelligence in the Design of Angiotensin-Converting Enzyme (ACE) Inhibitory Peptides
Discovered via OpenAlex
-
Structural bioinformatics of three Epstein-Barr Virus (EBV) Integral Membrane Proteins and their water-soluble QTY analogs
Discovered via OpenAlex
-
Molecular Access Engineering for Microbial Biocatalysis: from Enzyme Tunnels to Microbial Cell Factories
Discovered via OpenAlex
-
De novo design of proteinaceous binders targeting the LEDGF PWWP domain
Discovered via OpenAlex
-
AI-guided Protein Inhibitor Design for Modulating FAD-dependent Glucose Dehydrogenase Redox Output
Discovered via OpenAlex
-
AI-redesigned starting points and outcomes enhance protein evolution
Discovered via OpenAlex
-
Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.4 Transformer-based · 5.Function to Sequence
-
Analysing open-source protein folding models for nanobody binding prediction
Discovered via OpenAlex
-
ABOPD: Antibody CDR Design via On-Policy Distillation
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.2 Diffusion-based
-
De Novo Design of Protein Switches with Diffusion-Based Ensemble Sampling
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 3. Function to Scaffold · 3.4 Diffusion-based
-
Glycosylation penetrance of N-X-S/T sequons in antibody variable domains: a structural survey of 19,265 human antibody structures reassessing the histidine/glutamine suppression hypothesis
Discovered via OpenAlex
-
De Novo Design of Protein Nanopores: From Minimal Peptides to AI-Driven Design
Discovered via OpenAlex
-
Designed β-hairpin switches for controllable mechanical properties
Discovered via OpenAlex
-
ProteinSketch translates spatial intuition into protein design with bimanual interaction in VR
Discovered via OpenAlex
-
Deep Learning for Proteins Notebook Series Teaches AI for Biomolecular Structure Prediction and Design
Discovered via OpenAlex
-
Artificial Intelligence and Protein Design: A retrospective study on 20-year emerging trends and core research areas from bibliometric perspectives
Discovered via OpenAlex
-
Evolutionary profiles for protein fitness prediction
Discovered via OpenAlex
-
CatIF-RL: Activity-Oriented Enzyme Sequence Design by Steered Inverse Protein Folding
Discovered via OpenAlex
-
AI-Guided Synthetic Protein Sequence Generation for Functional Protein Design Using Gated Recurrent Units (Preprint)
Discovered via OpenAlex
-
BoltzOmics: Predicting genetic variant effects on drug binding with Boltz-2
Discovered via OpenAlex
-
A Glycan-Aware Diffusion Model for Carbohydrate and Glycoprotein Structure Prediction
Discovered via OpenAlex
-
De novo design of orthogonal far-red, orange, and green fluorophore-binding proteins for multiplexed imaging
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Computational Redesign of Aspartase from Escherichia coli and Its Catalytic Synthesis of β-Alanine
Discovered via OpenAlex
-
RNA G-quadruplex structure recognition by chimeric peptides
Discovered via OpenAlex
-
Minimal Data · Maximal Insight (MDMI): A Structure-guided Pipeline for Discovering Functional Alternatives in Peptide-Protein Interfaces
Discovered via OpenAlex
-
Prediction-Guided Design of a More Developable FGF21 Construct
Discovered via OpenAlex
-
State-selective inhibition of alpha-synuclein aggregation by de novo oligomer-binding proteins
Discovered via OpenAlex
-
Machine learning-driven identification of DLL3 as a molecular target and development of a DLL3-binding cyclic peptide for glioblastoma
Discovered via OpenAlex
-
Discovery of Stapled Peptide MYC Degrader with Potent In Vivo Activities for Triple-Negative Breast Cancer Therapy
Discovered via OpenAlex
-
Hands-on session: Nanobody binder design with AI
Discovered via OpenAlex
-
Frozen Protein Foundation-Model Embeddings Improve Antibody–Antigen Binding Affinity Prediction
Discovered via OpenAlex
-
De novo design of selective kinase modulators
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
The limits of sequence-based biosecurity screening tools in the age of AI-assisted protein design
Discovered via OpenAlex
-
Protein Design from Scratch: De Novo Protein Design via MultiParameter Functional Constraint Integration
Discovered via OpenAlex
-
Derivatization of the non-ribosomal peptide pyrrolizixenamide using NRPS engineering
Discovered via OpenAlex
-
Selective miniprotein inhibitors of Aurora-A kinase designed using interaction-motif scaffolding
Discovered via OpenAlex
-
Breaking the Bottleneck of Protein Design... Demonstration of Photonic Entropy Computing Optimization
Discovered via OpenAlex
-
Deep Learning Models Capture Umbrella Sampling-Derived Energetic Trends: A Troponin C Case Study
Discovered via OpenAlex
-
Structure-guided design of a CD81-binding mini-protein that blocks hepatitis C virus entry
Discovered via OpenAlex
-
Evolution of Enzymes, 'Tunneling' Through Instead of Going Over the Wall... Elucidating the Use of Quantum Tunneling in Artific
Discovered via OpenAlex
-
Scaling SMILES-Based Chemical Language Models for Therapeutic Peptide Engineering
Discovered via OpenAlex
-
Evolution- and structure-guided redesign of the Stachel motif yields soluble and potent modulators of adhesion GPCRs
Discovered via OpenAlex
-
Microbial Synthesis of Daphnetin by Engineering 2-Oxoglutarate-Dependent Dioxygenases
Discovered via OpenAlex
-
Investigating the Effect and Mechanism of Semantic Alignment in Fixed-Backbone Protein Sequence Design
Discovered via OpenAlex
-
The YTHDC1 glutamate-rich domain docks to the ADAR1 Zα Domain, linking the N 6 -methyladenosine modification of pre-mRNAs to dsRNA editing
Discovered via OpenAlex
-
Evaluation of an M Cell–Targeted FedA Fusion Protein as an Oral Vaccine Candidate for Post-Weaning Diarrhea
Discovered via OpenAlex
-
Isolation and genomic analysis of otomycosis pathogens, and genomics-informed antimicrobial peptide design with potential therapeutic applications
Discovered via OpenAlex
-
Generative AI in antibody engineering: emerging concepts and translational bottlenecks in lung cancer
Discovered via OpenAlex
-
Computational design of de novo integrated domains enables rational control of pathogen effector recognition in plant NLR immune receptors
-
Progress in structure prediction and design of adaptive immune receptors
Discovered via OpenAlex
-
A Sexagesimal Harmony Algorithm Approach to Hexagonal Ice Suppression
Discovered via OpenAlex
-
RINAMI : Residue‐attributed interpretable neural network for predicting absolute folding free energy by merging structure and sequence information
Discovered via OpenAlex
-
Enhancing machine learning‐based binder design with high‐throughput screening: A comparison of mRNA and yeast display technologies
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Variable-Length Generative Protein Design via Generalized Poisson Flow
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.8 Flow-based
-
Applications and limitations of AI tools in enzyme design
Discovered via OpenAlex
-
Hybrid quantum-classical de novo design of MHC-binding peptides
Discovered via OpenAlex
-
MAERM: Predicting Enzyme-Reaction Matching Relationships with a Mixed-Attention Model
Discovered via OpenAlex
-
Benchmarking AI/ML-Driven PTIm-mAb Across Eleven FDA-Approved Bispecific Antibodies: A Cross-Tool Validation Study
Discovered via OpenAlex
-
Enhancing tumor T cell antigen prediction by integrating deep protein representations
Discovered via OpenAlex
-
Artificial intelligence and automation in enzyme engineering: evolution, advances, and future perspectives
Discovered via OpenAlex
-
A De Novo CO 2 Reductase Featuring a Cysteine-Ligated Cobalt Porphyrin Cofactor
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Characterising AlphaFold 3’s ability to predict T cell antigen specificity
-
From First Principles to Function: How AI Is Reshaping Enzyme Design
Discovered via OpenAlex
-
DrugGen 2: A disease-aware language model for enhancing drug discovery
Discovered via OpenAlex
-
UMA-Inverse: Ligand-Conditioned Protein Inverse Folding with a Distogram-Supervised Dense Pair Encoder
Discovered via OpenAlex
-
Machine learning guided cell-free expression maps the biochemical landscape of carbonic anhydrase
Discovered via OpenAlex
-
De Novo Designed Minibinders Targeting the GDF15–GFRAL Axis Reverse Cancer Cachexia and Restore Anti‐Tumor Immunity
Discovered via OpenAlex
-
ThermoFusion: A Multimodal Deep Learning Framework for Generalizable Prediction of Enzyme Thermostability
Discovered via OpenAlex
-
Bioactive Peptides for Oral Diseases: Biomaterial-Assisted Therapeutics and Translational Applications
Discovered via OpenAlex
-
Deep-Interact Studio: An Interactive Deep Learning Model Building Platform for Biomolecular Interaction Prediction
Discovered via OpenAlex
-
Rethinking Benchmarks and Models for Enzyme Specificity Prediction
-
G-Walk Protein Design: From ISA Programme to Amino Acid Sequence via Orbit Occupancy
Discovered via OpenAlex
-
CatESO: Differentiable Enzyme Sequence Optimization Guided by Substrate-Aware kcat Prediction
Discovered via OpenAlex
-
From Traditional Protein Engineering to AI-Driven Design: Principles, Methods, and Applications
Discovered via OpenAlex
-
Developing Anti‐EGFR/Anti‐HER2 Bifunctional Antibody for Solid Tumors by Protein Engineering
Discovered via OpenAlex
-
Accurate ΔT m Prediction Without Protein Structure Inputs for Biomolecular Stability
Discovered via OpenAlex
-
Bridging Algorithms and Biocatalysis: Perspectives on AI-Supported Enzyme Engineering
Discovered via OpenAlex
-
Generative AI for controllable protein sequence design: A survey
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.0 Review · 4.Scaffold to Sequence
-
Expanding all-α-helical protein space through rational computational design
Discovered via OpenAlex
-
Design-CP: Context Parallelism for Design of Protein Nanoparticles
Discovered via OpenAlex
-
Membrane protein solubilization and structure determination using de novo–designed proteins
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Linker-Length Landscape Mapping Enables Coupling of Diverse Synthetic Chemically Induced Dimerization Systems to Molecular Readouts
-
Beyond native sequence recovery: Improved modeling of the sequence-energy landscape of protein structures
Discovered via OpenAlex
-
Advances in the application of artificial intelligencein protein design
Discovered via OpenAlex
-
Diffeomorphic Optimization
Discovered via OpenAlex
-
Investigating the Role of Anti‐Leukemia Inhibitory Factor Antibody on Cytokine Profile in a Mouse Model of Breast Cancer
Discovered via OpenAlex
-
De Novo Synthesis in Cancer Immunotherapy: Applications and Prospects
Discovered via OpenAlex
-
Intelligent antigen design combined with yeast display enhances targeted immune responses
Discovered via OpenAlex
-
FireProtASR 2.0: evolution-guided Design of Protein Ancestors and Successors with phylogenetics and machine learning
Discovered via OpenAlex
-
Rational Design of Peptide Binders Targeting Prominin-1 and Sortilin for Molecular Sensing Applications
Discovered via OpenAlex
-
Mixture diffusion model for multimodal antibody design
Discovered via OpenAlex
-
Agentomics: an agentic system that autonomously develops novel state-of-the-art solutions for biomedical machine learning tasks
Discovered via OpenAlex
-
AI-guided discovery for low-resource peptide engineering using evolutionary scale modeling
Discovered via OpenAlex
-
MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules
Discovered via OpenAlex
-
LoMuS: low-rank adaptation with sequence multi-representation improves protein stability prediction
Discovered via OpenAlex
-
PreFold-dG: estimating binding affinity of protein–protein interaction from intermediate representations of protein folding model
Discovered via OpenAlex
-
Structural basis for host membrane binding and remodeling by invading malaria parasites
Discovered via OpenAlex
-
Semantic Deconstruction and Operator Reconfiguration: An Architecture of Morphic Computation Based on Inverse Categorical Compilation Theory
Discovered via OpenAlex
-
Artificial Intelligence in Protein Engineering: From Therapeutic Design to Precision Medicine
Discovered via OpenAlex
-
Computational Intelligence-driven DPP-4 Inhibitory Peptide Prediction and Bispecific Antibody Design: Integrating Deep Learning, Molecular Dynamics, and Nanodisc Validation
Discovered via OpenAlex
-
Hybrid Approach to Protein–Protein Complex Affinity Prediction Based on Language Models and Molecular Dynamics
Discovered via OpenAlex
-
AI-Designed Synthetic CRISPR Enzymes: Evolving Molecular Scissors Beyond Natural Constraints
Discovered via OpenAlex
-
Neuroprotective potential of a TrkB-FL-derived cell-penetrating peptide in cochlear synaptopathy and noise-induced hearing loss
Discovered via OpenAlex
-
Function-guided design of active enzymes
Discovered via OpenAlex
-
OpenGerminal: an open-source implementation of the Germinal antibody design pipeline
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.5 GNN-based · 4.Scaffold to Sequence
-
Preference-based Antibody Expression Ranking: Scaling with Large-scale Weak Supervision
Discovered via OpenAlex
-
Protein Secondary Structure Prediction Using ESMFold: A Deep Learning-Based Bioinformatics Web Application
Discovered via OpenAlex
-
Structure-Regularized Interpretable TCR-Epitope Prediction
Discovered via OpenAlex
-
Modeling Protein Evolution with Generative Models: from Extant Sequence Data to Evolutionary Dynamics
Discovered via OpenAlex
-
Loop-Directed Cofactor Binding Enables Programmable Multicofactor Protein Design
Discovered via OpenAlex
-
Reprogramming parasitic signatures into anticancer peptide candidates: in silico discovery of Leishmania major-derived peptides
Discovered via OpenAlex
-
Prosculpt: Lowering the Barrier to Computational Protein Design
Discovered via OpenAlex
-
A Linguistic Model for Protein Structure Generation
Discovered via OpenAlex
-
Antimicrobial and Antibiofilm Activities of Allomyrinasin against Streptococcus mutans
Discovered via OpenAlex
-
Mechanistic insights into modulation of productive substrate accessibility for efficient PET depolymerization
Discovered via OpenAlex
-
ERENUMAB, A NEW PREVENTIVE TREATMENT FOR MIGRAINE: MECHANISM OF ACTION, SAFETY AND EFFICACY
Discovered via OpenAlex
-
De novo design and experimental characterization of bitter peptides
Discovered via OpenAlex
-
Zero-shot design of drug-binding proteins via neural iterative selection−expansion
-
Thermostability Engineering in Therapeutic Antioxidant Enzymes: From Molecular Fundamentals to Oxidative Stress Applications
Discovered via OpenAlex
-
ComplexDesign: sequence-hallucination design of protein binders bridging multiple proteins
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 2. Model-based design · 2.1.1 trRosetta-based
-
Computational Redesign of an Antifreeze Protein Using Deep Learning
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.5 GNN-based · 4.Scaffold to Sequence
-
Targeting the WASF3 Regulatory Complex in Pancreatic Cancer Using Stapled Peptides
Discovered via OpenAlex
-
De novo epitope-specific antibody design via time-dependent guidance
Discovered via OpenAlex
-
Rational design of oil crop-derived protein nanofibrils: An AI-driven solution for process control and functional prediction
Discovered via OpenAlex
-
Orally available designed miniproteins inhibit enterotoxigenic Bacteroides fragilis pathology by blocking toxin receptor binding
-
Scalable Peptide Design via Memory-Efficient Equivariant Transformer
Discovered via OpenAlex
-
Sequence–structure cross-attention model integrating ESM-2 embeddings and AlphaFold cues for accurate prediction of Escherichia coli protein solubility
Discovered via OpenAlex
-
Multi-Scale Machine Learning for Antibody-Antigen Binding Affinity Prediction Using Deep Mutational Scanning and Structural Features
Discovered via OpenAlex
-
A complete RXFP1–relaxin interaction model unlocks the design of potent mini-protein modulators
Discovered via OpenAlex
-
Advancing Data Usability, Activity Modeling, and Stability Optimization in Computational Enzyme Design
Discovered via OpenAlex
-
Optimizing protein design through uncertainty-weighted steering of protein language models
Discovered via OpenAlex
-
Membrane-Coated Microsphere Functionalization with Polypeptides
Discovered via OpenAlex
-
Reduced-Alphabet QUBO/Ising Formulation for Constraint-Driven Cyclic Peptide Sequence Design
Discovered via OpenAlex
-
Enhancing Enzyme Activity With Mutation Combinations Guided by Few‐Shot Learning and Causal Inference
Discovered via OpenAlex
-
Artificial Intelligence in Drug Discovery and Development: Applications, Impact, and Challenges
Discovered via OpenAlex
-
Deep Learning Models for Protein Structure Prediction: A Comprehensive Survey
Discovered via OpenAlex
-
Ovo, an open-source ecosystem for de novo protein design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Novel Anti-Microbial Peptides Design and Screening Against the KatG Using Molecular Docking and MD Simulation
Discovered via OpenAlex
-
Peptide‐based antibacterial nanoplatforms: Design principles, stimuli‐regulated behaviors, and applications
Discovered via OpenAlex
-
Computationally guided modifications of CviUPO to improve catalytic activity
Discovered via OpenAlex
-
SplitSeek-Pro: accurate prediction of splittable sites on protein structures
Discovered via OpenAlex
-
Targeting FABP4 in treating atherosclerosis and metabolic disorders: from mechanism to therapies
Discovered via OpenAlex
-
The Good, The Bad, and The Ugly of Antibody Design: A Roadmap for Integrating Co-folding with Absolute Binding Free Energy Calculations
Discovered via OpenAlex
-
Systematically Engineering Escherichia coli for Efficient and Complete Hydroxytyrosol Biosynthesis
Discovered via OpenAlex
-
Membrane Protein Design: From Reprogramming Functions to AI-Guided De Novo Design Approaches
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 1. Reviews · 1.1 De novo protein design
-
A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design
Discovered via OpenAlex
-
Sequence redesign of glycosyltransferases for enhanced heterologous expression and glycosylation efficiency in Escherichia coli
Discovered via OpenAlex
-
The Fragmented Nature of Biosensor Development: Challenges and Paths to Mitigation
Discovered via OpenAlex
-
Improved Stability and Brightness Following Iterative Redesign of a De Novo Biliprotein
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Physics‐Based Energy Functions for Computational Protein Design
Discovered via OpenAlex
-
Differences between protein fitness models can be used to design variants of altered specificity
Discovered via OpenAlex
-
Smart Peptide Design of a Novel Melittin-Based Inhibitor of Tyrosinase and MITF Using Machine-Learning Techniques
Discovered via OpenAlex
-
Pepti-Agent: An AI Agent for Peptide Design and Optimization
Discovered via OpenAlex
-
MAHLER: Integrating Metadynamics and Inverse Folding to Predict Antibody-Antigen Kinetics
Discovered via OpenAlex
-
Controlling metal-carbonate phase, form, and function through de novo protein design
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.4 CNN-based
-
EditorForge: An Active-Site-Aware Framework for Inverse-Folding-Based Protein Redesign
Discovered via OpenAlex
-
Entropy quantum computing for fixed-backbone protein design
Discovered via OpenAlex
-
VFUSE: Virulent Feature Understanding with Sparse autoEncoders
Discovered via OpenAlex
-
EasyNano: rapid epitope-targeted nanobody CDR design via differentiable distogram optimization with ESMFold2
Discovered via OpenAlex
-
Microwave-induced modulation of intracellular distribution of peptides based on mitochondrial targeting sequences
Discovered via OpenAlex
-
APCyc: Property-Informed Design of Cyclic Peptides via Automated Cyclization
Discovered via OpenAlex
-
DeePEn-A Depth sensitive benchmark for Protein Engineering
Discovered via OpenAlex
-
Viability of engineered AAVs via protein language models
Discovered via OpenAlex
-
Synthetically designed anti-defense proteins overcome barriers to bacterial transformation and phage infection
Discovered via OpenAlex
-
Structural bioinformatic studies of eight integral transmembrane NADPH oxidases and their AlphaFold 3 predicted QTY analogs with reduced hydrophobicity
Discovered via OpenAlex
-
Active Learning–Guided Peptide Design for Modulating Condensate Properties upon Recruitment
Discovered via OpenAlex
-
Promera: a unified model for biomolecular structure prediction, filtering, and design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.2 Diffusion-based
-
Void-X: A generative void-filling model for predicting atomic packing in proteins
Discovered via OpenAlex
-
Discriminator‐Guided Inverse Folding for Multi‐Property Protein Design
Discovered via OpenAlex
-
Porphyrin-driven redox tuning in structurally defined de novo heme proteins
Discovered via OpenAlex
-
Interpretable Protein Design for Thermostable Antibody Fragments
Discovered via OpenAlex
-
Multi-objective antibody design and optimization using machine learning
Discovered via OpenAlex
-
The road to computationally designed artificial metalloenzymes
Discovered via OpenAlex
-
De novo design of dual-target mini-binders simultaneously neutralizing Streptococcus equi subspecies zooepidemicus M-like protein and host TNFR1 confers complete protection against lethal infection
Discovered via OpenAlex
-
Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules
-
Inherent limitations of zero-shot mutation prediction in protein engineering
Discovered via OpenAlex
-
pLM-Guided Inverse Folding for Antibody Sequence Design
Discovered via OpenAlex
-
Constraint-Aware Optimization for Robust Protein Stability Prediction
Discovered via OpenAlex
-
Heuristic multi-site optimization for protein sequence design using Masked Protein Language Models
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 7. Other tasks · 7.1 Effects of mutation & Fitness Landscape
-
Integrating Single-Cell Profiling with Generative AI for De Novo Design of MMP9 Protein Binders in Diffuse Large B-Cell Lymphoma
Discovered via OpenAlex
-
Artificial Intelligence and Large Language Models in Drug Discovery and Pharmacogenomics: A Comprehensive Pharmacological Review of AlphaFold, Generative AI for De Novo Design, Clinical Decision Support, and the Translational Pipeline
Discovered via OpenAlex
-
Towards Energetics-Based de novo Enzyme Design: Elucidating Enzymatic Reactions and Estimating Their Activation Barriers Using Machine-Learned Force Fields
-
Systems-Scale Structural Modeling Reveals the Germline Architecture of Immunodominance
-
Bacteriophage nanoparticles: an emerging modular delivery platform
Discovered via OpenAlex
-
Language Modeling Materializes a World Model of Protein Biology
Discovered via OpenAlex
-
Highly Stable Mn(V)-Nitrido and Nitrogen-Atom Transfer Reactivity within a de Novo Protein
Discovered via OpenAlex
-
A Formally Verified, Causality‑Driven Platform for De Novo Antibody Design and Protein Function Prediction
Discovered via OpenAlex
-
Modular Input–Output Biosensor Design Using De Novo Protein Switches
Discovered via OpenAlex
-
Optimizing phage therapy with antidefense proteins acquired from the environment
Discovered via OpenAlex
-
Artificial intelligence tools for enzyme engineering and metabolic engineering
Discovered via OpenAlex
-
Exclusive: Lundbeck taps Cradle for antibody design
Discovered via OpenAlex
-
De Novo Design of Near-Infrared Fluorescence-Activating Proteins
-
Cross-Validation of Three Neural Network Potentials for MMP-1 Zn Active-Site Inhibitor Ranking: A Computationally-Driven Repositioning Study of Vorinostat and Indapamide
Discovered via OpenAlex
-
An enzymology oriented protein virtual screening software - WhatCat
Discovered via OpenAlex
-
Landscape of T-cell bispecific antibodies in cancer therapy: therapeutic strategies, challenges and future prospection
Discovered via OpenAlex
-
Designing the Future of Hemostasis
Discovered via OpenAlex
-
AgentPLM: Agentic Protein Language Models with Reasoning-Augmented Decoding for Protein Sequence Design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.4 Transformer-based · 5.Function to Sequence
-
AI-Guided Protein Engineering Unlocks DON-degrading Enzyme Thermal Stability via a Loop-to-β-Sheet Conformational Switch
Discovered via OpenAlex
-
Integrating Conformational Sampling and Siamese Learning to Predict Mutation-Induced Binding Affinity Changes in Abelson Tyrosine Kinase and Its Ligands
Discovered via OpenAlex
-
PMGen: from peptide-MHC structure prediction to peptide generation
Discovered via OpenAlex
-
Antibody maturation increases rigidity in protein-contacting regions and flexibility at glycan interfaces
Discovered via OpenAlex
-
Deep Learning for Protein Structure Prediction: From AlphaFold to the Next Frontier
Discovered via OpenAlex
-
From Monoclonal to Multifunctional: The Evolving Landscape of Engineered Antibodies
Discovered via OpenAlex
-
Comparison of AI protein structure ensemble prediction tools
Discovered via OpenAlex
-
Decade of AI in Drug Discovery: Hype or Reality?
Discovered via OpenAlex
-
mRNAutilus: Multi-Objective-Guided Discrete Generation of mRNA with Optimized Therapeutic Properties
-
Programmable DNA integration with New-to-Nature tools using Computational Protein Design
Discovered via OpenAlex
-
SwitchCraft: A Programmatic Framework for Designing State-Switching Proteins
Discovered via OpenAlex
-
Structure-Guided Grafting of Cell-Penetrating Motifs into Stapled Peptides for Intracellular PPI Inhibition
Discovered via OpenAlex
-
Applying therapeutic peptide design principles to agricultural peptides
Discovered via OpenAlex
-
AMix-2: Establishing Protein as a Native Modality in Large Language Models
Discovered via OpenAlex
-
A T7 RNAP regulatory toolbox for cell-free network engineering and biosensing applications
Discovered via OpenAlex
-
Designing lattice proteins with variational quantum algorithms
Discovered via OpenAlex
-
Objective curriculum-guided design of multi-property proteins
Discovered via OpenAlex
-
Programmable Icosahedral Protein Nanocages: A De Novo Design Framework for Reducing Kinetic Mis-Assembly and Enhancing Experimental Assembly Fidelity
Discovered via OpenAlex
-
Nano‐enzyme engineering: Advancing enzyme immobilization for industrial and environmental applications
Discovered via OpenAlex
-
Computational Modeling of Antibody-Antigen Complexes: PLM-Based and MSA-Based Approaches
Discovered via OpenAlex
-
Affinity Fine-Tuning of Boltz-2: An Open Framework for Protein-Ligand Potency Prediction in Drug Discovery
Discovered via OpenAlex
-
ProtSeqGen: a novel deep learning model for protein sequence design
Discovered via OpenAlex
-
SynFit: Synergistic Contrastive Learning for Multi-Objective Protein Fitness Prediction and Optimization
Discovered via OpenAlex
-
NuConf: a rotamer library for DNA and RNA and its implementation in the protein design software MUMBO
Discovered via OpenAlex
-
Self-Improvement Imitation with Biologically Guided Search for Protein Design Under Oracle Budgets
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 2. Model-based design · 2.5 Sampling-algorithms
-
Additional file 1 of ProtSeqGen: a novel deep learning model for protein sequence design
Discovered via OpenAlex
-
Modeling the Language of Codons with Artificial Intelligence
Discovered via OpenAlex
-
Navigating high-order protein fitness landscapes via deep learning on directed evolution trajectories
Discovered via OpenAlex
-
Generative AI-driven enzyme engineering unlocks sustainable valorization of broccoli waste into sulforaphane
Discovered via OpenAlex
-
AI-Guided De Novo Design of a Caffeine-Induced Protein Dissociation System
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 2. Model-based design · 2.1.1 trRosetta-based
-
SurfDesign: Effective Protein Design on Molecular Surfaces
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.7 Transformer-based · 4.Scaffold to Sequence
-
CD40 agonistic-monovalent streptavidin fusion antibody for targeted neoantigen peptide delivery and potent cancer vaccination
Discovered via OpenAlex
-
Scaling antibody language models improves structure aware representation for antibody engineering
Discovered via OpenAlex
-
GeoCycler: Reward-Aligned 3D Diffusion for Constraint-Conditioned Cyclic Peptide Design
-
Scaffold-Lab: Critical evaluation and ranking of protein backbone generation methods in a unified framework
Discovered via OpenAlex
-
Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion
Discovered via OpenAlex
-
AI-driven protein design to understand effector function within the Magnaporthe oryzae rice pathosystem
Discovered via OpenAlex
-
Structural insights into tyrosine sulfation of CCR5 by human tyrosylprotein sulfotransferase‐1
Discovered via OpenAlex
-
β-Maltose-conjugated acetophenone thiosemicarbazones as multitarget inhibitors of diabetes- and Alzheimer's disease-related enzymes: Design, synthesis, and mechanistic evaluation
Discovered via OpenAlex
-
AI-Driven De novo Design of HDAC6/EZH2 Dual-target Peptide Inhibitors for Epigenetic Cancer Therapy
Discovered via OpenAlex
-
De novo design of miniproteins targeting GPCRs
-
AI-guided redesign of laboratory-evolved reverse transcriptases enhances prime editing
Discovered via OpenAlex
-
Nature’s economy as blueprint: regional overlap & block-based algorithm for protein design
Discovered via OpenAlex
-
Design and classify innovative antimicrobial and dual- and multi-functional peptides using generative artificial intelligence
Discovered via OpenAlex
-
A Potent CRISPR-Cas12l Double-Strand Break Gene Editor
Discovered via OpenAlex
-
De Novo Design of Miniature and Efficient Metallo-Ketoreductases
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Design of one-component quasisymmetric protein nanocages
-
De novo design of quasisymmetric two-component protein cages
-
Control of Guanine Exchange Factor Activity Using De Novo Designed Protein Inhibitors
Discovered via OpenAlex
-
EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation
Discovered via OpenAlex
-
AgForce Enables Antigen-conditioned Generative Antibody Design
Discovered via OpenAlex
-
Redesign of TALE proteins for DNA-templated assembly of protein fibers
-
Multilevel cytochrome P450 engineering integrating protein language model-guided evolution enables de novo biosynthesis of amentoflavone in Escherichia coli
Discovered via OpenAlex
-
De novo design of a macrocycle-induced dimerization system for cellular control
-
Extending structural surfaceomics to identify aberrant conformations of tumor surface proteins as potential immunotherapy targets
Discovered via OpenAlex
-
Machine-guided design for bioengineering gene therapy vectors: Where are we and what lies ahead?
Discovered via OpenAlex
-
ConforFlux: Particle-Guided Trunk Repulsion for Diverse Protein Conformations
Discovered via OpenAlex
Preprint source: bioRxiv: Bioinformatics
-
Genetic code expansion enables programmable covalent protein design
Discovered via OpenAlex
-
Ligand-Conditioned Discrete Diffusion for Protein Sequence-Structure Co-Design
Discovered via OpenAlex
-
Enhancement of glutaminase production through protein design and host strain modification in Bacillus amyloliquefaciens
Discovered via OpenAlex
-
DISCOVERY OF A NOVEL PHENYLAMINE-PURINE CHEMOTYPE AS A POTENTIAL EGFR INHIBITOR USING AN INTEGRATED AI-DRIVEN DRUG DESIGN PIPELINE
Discovered via OpenAlex
-
A generative artificial intelligence approach for peptide antibiotic optimization
Discovered via OpenAlex
-
Novel anti-Mullerian hormone receptor 2 binding peptide prevents chemotherapy-related ovarian follicle loss in a mouse model
Discovered via OpenAlex
-
Redesign selective protein binders using contrastive decoding
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.7 Transformer-based · 4.Scaffold to Sequence
-
Statistical Thermodynamics Based Design Principles into the Temperature Induced Fold Switching of a Metamorphic Protein
Discovered via OpenAlex
-
End-to-end de novo design of Zn²⁺ metallohydrolase binders: an open-source canonical pipeline anchored by LigandMPNN's metal-coordination recovery
Discovered via OpenAlex
-
Design of Multifunctional Bioactive Peptides for Potential Application in Food Packaging: A Machine-Learning-Integrated Optimization Framework
Discovered via OpenAlex
-
A computational structural hypothesis for a TRPV4–ANO1 interface, and a stapled peptide designed to test it
Discovered via OpenAlex
-
Steering potentials, not bug fixes, eliminate catastrophic outliers in Boltz-2 cofold protein-ligand affinity prediction: a six-way protocol evaluation on zinc-hydroxamate MMP-1 inhibitors
Discovered via OpenAlex
-
Reverse-engineering amyloid strains with generative protein design
Discovered via OpenAlex
-
Robust and interpretable machine learning for affinity prioritization of designed protein interactors
Discovered via OpenAlex
-
PTM-dCN: Latent Space Control for Post-Translational Modification–Aware Protein Design
Discovered via OpenAlex
-
ProteinOPD: Towards Effective and Efficient Preference Alignment for Protein Design
Discovered via OpenAlex
-
Microbial biosynthesis of stilbenoids: A comprehensive review
Discovered via OpenAlex
-
Modeling Atomic Conformational Ensembles of Proteins via Test-Time Supervision of Boltz-2 on Cryo-EM Density Maps
Discovered via OpenAlex
-
Machine learning empowers precise discovery of disease-resistance genes in plants
Discovered via OpenAlex
-
Pushing Biomolecular Utility-Diversity Frontiers with Supergroup Relative Policy Optimization
Discovered via OpenAlex
-
VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design
Discovered via OpenAlex
-
Generative models for antimicrobial peptide design: auto-encoders and beyond
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 1. Reviews · 1.3 Peptide design
-
Additional file 2 of Generative models for antimicrobial peptide design: auto-encoders and beyond
Discovered via OpenAlex
-
A putative, computationally stable structure of homotrimeric BP180/collagen XVII
Discovered via OpenAlex
-
The latest AI breakthroughs in structural biology: protein binder design and conformational state prediction
Discovered via OpenAlex
-
Artificial intelligence directed computational protein design: lessons from COVID-19 for pandemic-ready vaccines and antibody therapeutics
Discovered via OpenAlex
-
De novo and scaffold-based design of GDF15 binders for cancer cachexia diagnostics and therapeutics
Discovered via OpenAlex
-
Benchmarking and behavioral characterization of LLM agents for protein design
Discovered via OpenAlex
-
Structural bias in machine learning-guided peptide design
Discovered via OpenAlex
-
Zero-Shot Design of a Biobetter Cetuximab: Enhanced EGFR Affinity with Preserved Developability
Discovered via OpenAlex
-
The peptide ACTY116 improved noradrenaline-induced cardiac hypertrophy and enhanced cardiac function by biasing receptor signaling toward the β-arrestin and against the Gαq protein
Discovered via OpenAlex
-
POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles
Discovered via OpenAlex
-
Computational design of membrane fusion proteins
-
Functional Catalysis by Heterochiral Peptides Designed to Mimic Carbonic Anhydrase for Carbon Dioxide Sequestration
Discovered via OpenAlex
-
Glass Box Machine Learning to Aid the Design of Small Peptide Agonists from Very Sparse Data: The Example of Erythropoietin Analogues
Discovered via OpenAlex
-
Distance-Restraint-Guided Diffusion Models for Sampling Protein Conformational Changes and Ligand Dissociation Pathways
Discovered via OpenAlex
-
Limitations of the refolding pipeline for de novo protein design
Discovered via OpenAlex
-
Protein Engineering of a Genetically Encodable Biosensor for Wastewater Detection of Profen NSAIDs
Discovered via OpenAlex
-
GYDE: A collaborative drug discovery platform for AI-powered protein design and engineering
Discovered via OpenAlex
-
Simple baselines rival protein language models in mutation-dense design of function tasks
Discovered via OpenAlex
-
YoyoMut: Interactive Exploration of SARS-CoV-2 Mutation Fixation and Reversion Through Time
Discovered via OpenAlex
-
Fast and Ultra-Capable Protein Design: Advancing the Frontier Through Atomistic SE(3)-Equivariance with Genie 3
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.2 Diffusion-based
-
Structure-derived synthetic sequences guide a protein language model toward metalloproteins
Discovered via OpenAlex
-
DOMINO: Learning Domain Co-occurrence for Multidomain Protein Design
Discovered via OpenAlex
-
ProtDBench: A Unified Benchmark of Protein Binder Design and Evaluation
Discovered via OpenAlex
-
A-CODE: Fully Atomic Protein Co-Design with Unified Multimodal Diffusion
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.2 Diffusion-based
-
Emergence of specific binding and catalysis from a designed generalist binding protein
-
Linker peptide acts as an external mechanical clamp in a designed polyprotein
Discovered via OpenAlex
-
Deep learning-driven integrated pipeline for de novo design and synthesis of antimicrobial peptides
Discovered via OpenAlex
-
HighFold-MeD2: An Enhanced Boltz-2 Model for Accurate Structure Prediction of N-Methylated and d -Amino Acid Cyclic Peptides
Discovered via OpenAlex
-
Cost-Aware Multi-Fidelity Bayesian Optimization with Runtime-Gated Cascading Tiers for Autonomous in silico Dermatology Discovery
Discovered via OpenAlex
-
Antibacterial and cell-instructive chitosan/NeoNectin hydrogels crosslinked via click chemistry enable osteogenic differentiation within ultra-soft matrices
-
Integrin-independent Tie2 activation using de novo designed proteins
-
Stabilizing Plasmodium falciparum proteins for small molecule drug discovery
Discovered via OpenAlex
-
Controlled Protein Design via Statistical Energy Functions: A Rossmann Fold Case Study
Discovered via OpenAlex
-
Characterization of Stable Fibroblast Growth Factor 2 Using Consensus Protein Design
Discovered via OpenAlex
-
Artificial intelligence aided design of peptides with custom secondary structure motifs and reduced amino acid alphabets
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.3 LSTM-based · 4.Scaffold to Sequence
-
Co-Generative De Novo Functional Protein Design
Discovered via OpenAlex
-
Proteo-R1: Reasoning Foundation Models for De Novo Protein Design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.2 Diffusion-based
-
InversePep: Diffusion-driven structure-based inverse folding for functional peptides
Discovered via OpenAlex
-
Rapid polymer-based immunohistochemistry for intraoperative CNS tumor diagnosis: A validation study
Discovered via OpenAlex
-
Open-source chemoinformatics platforms for multi-target structure-activity relationships
Discovered via OpenAlex
-
A98-08 Artificial Intelligence-assisted Design of Novel Antimicrobial Peptides Against Mycobacterium Abscessus
Discovered via OpenAlex
-
Direct Conversion of Phytosterol to Testosterone via an Integrated Microbial–Enzymatic Strategy
Discovered via OpenAlex
-
From undruggable to degradable: A deep learning-enabled framework for precision orthopaedic protein degradation
Discovered via OpenAlex
-
Deep Prior Framework: integrating functional specificity with general plausibility for targeted protein evolution
Discovered via OpenAlex
-
Detection of protein symmetry and structural rearrangements using secondary structure elements
Discovered via OpenAlex
-
Predicting Supramolecular Self-Assembly of Peptide Structures with AlphaFold3
Discovered via OpenAlex
-
A Conditional Variational Autoencoder with QSAR-Guided Surrogate-Weighted Fine-Tuning and Cross-Entropy Optimization for Targeted Antimicrobial Peptide Generation
Discovered via OpenAlex
-
The past, present and future of de novo protein design
-
Generative Protein Design: From Deep Learning Algorithms to Translational Applications
Discovered via OpenAlex
-
Generation of mixed-valency, modular multispecific antibodies using disulfide-linked Fc–FcγR complexes
Discovered via OpenAlex
-
Integrative Peptide Drug Development: Chemical Engineering, AI-Driven Design, and Cell-Penetrating Peptides
Discovered via OpenAlex
-
MsgaBpred: A B-cell epitope predictor integrating AlphaFold3-predicted structures with multi-scale GCNs and pre-trained language model ESM-C
Discovered via OpenAlex
-
Leveraging AI-driven predictors of enzyme pH optima to unravel microbial adaptation to environmental pH
Discovered via OpenAlex
-
Discriminative Site-Directed Protein Engineering via Lightweight CASPE Platform
Discovered via OpenAlex
-
Generative design of sequence specific DNA binding proteins
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Designed Minibinders Rewire Receptor Signaling to Enable Functional Human Myogenic Reprogramming
-
Orchestrating Metal-Hydride Reactivity in Engineered Metalloenzymes: Electronic and Electrostatic Determinants of the Reaction Mechanism
Discovered via OpenAlex
-
Family‐level specialization in protein domain insertion architectures
Discovered via OpenAlex
-
Development & Assessment of Assays Capable of Data Generation for Training and Benchmarking Models for PET Hydrolase Engineering
Discovered via OpenAlex
-
PythiaStudio: a one-stop protein engineering platform powered by Pythia model suite
Discovered via OpenAlex
-
Synergistic antiviral effects of structure-guided peptides and a mutagenic base analog on SARS-CoV-2 replication
Discovered via OpenAlex
-
Hybrid deep learning model (E2BNet) combining ESM2 and BiLSTM for 8-state protein secondary structure prediction
Discovered via OpenAlex
-
Structure of a sparsely populated chimeric intermediate that facilitates fold-switching of a metamorphic protein
Discovered via OpenAlex
-
Ly-Algebra 5-Fold Supercell Protein Design: AlphaFold2 Validation of a Novel 20-Residue TrpCage Scaffold with 94.89 Mean pLDDT Across 5 Independent Models
Discovered via OpenAlex
-
Ly-Algebra 59-Mer Supercell: De Novo Protein Design Achieving 97.39 Mean pLDDT and Ensemble Convergence sigma=0.53 Across Five AlphaFold2 Models, Computed on a $79 Budget Android Device via the TT-G41 Framework
Discovered via OpenAlex
-
Integrated model for drug-target interaction prediction leveraging multiple protein language embeddings
Discovered via OpenAlex
-
Zero-shot design of a de novo metalloenzyme
Discovered via OpenAlex
-
Additive baselines furnish no evidence for epistasis learning by MULTI-evolve
Discovered via OpenAlex
-
From Heuristics to Deep Generative Models: A Critical Review of Protein Sequence Analysis Architectures for Clinical Decision Support Systems (CDSS)
Discovered via OpenAlex
-
An autonomous LLM-agent platform for computational binder design and conjugation-aware prioritization of antibody–drug conjugates
Discovered via OpenAlex
-
Landscape-scale navigation unlocks antibody CDR structural logic for AI-guided rescue and therapeutic optimization
Discovered via OpenAlex
-
Using experimental results of protein design to guide biomolecular energy-function development
-
De novo masking domains that gate TNF-family ligand assembly and activity
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Protein inverse folding through joint modeling of surface and backbone geometry
Discovered via OpenAlex
-
Advances in Alternative Protein Design: Nutritional Constraints, Sensory Limits, and Computational Solutions
Discovered via OpenAlex
-
sdAbs-LLM: Generative Large Language Models For de novo Antibody Design and Agentic Evaluation
Discovered via OpenAlex
-
Structure-guided molecular design with contrastive 3D protein-ligand learning
Discovered via OpenAlex
-
Full-Atom MPNN Based Redesign of Plant Dehydrogenase Enables Thermostability Enhancement Without Loss of Stereoselectivity
Discovered via OpenAlex
-
Contemporary data-driven innovations in peptide-based therapeutic design
Discovered via OpenAlex
-
α-Helical peptides: design strategies and recent advances in biomedical applications
Discovered via OpenAlex
-
Closing the loop: Experimentally validated methods in artificial intelligence–driven protein design
-
RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design
-
Assessment of the antimicrobial properties of novel azopyrazolo[1,5-a]pyrimidine derivatives targeting DNA gyrase enzyme: design, synthesis, and molecular docking studies
Discovered via OpenAlex
-
Lignin-IB-Peroxidase
Discovered via OpenAlex
-
ProtoCycle: Reflective Tool-Augmented Planning for Text-Guided Protein Design
Discovered via OpenAlex
-
The Synthetic Epitope Atlas: High-Throughput Design and Validation of De Novo Antibody-Antigen Complexes
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.9 Diffusion-based · 4.Scaffold to Sequence
-
De novo design and evaluation of dual inhibitory peptide binders targeting MDMX-p53 and MDM2-p53 interactions
Discovered via OpenAlex
-
The double histone fold: Structure, functional implications across the tree of life and relevance to protein design
Discovered via OpenAlex
-
Integrating glycosylation in de novo protein design with ReGlyco Binder Design Filter
Discovered via OpenAlex
-
Dynamic-Structure Redesign of Calmodulin Reveals Mechanistic Constraints on Ryr2 Regulation
Discovered via OpenAlex
-
Computational Engineering of a Thermostable Enzyme for the Degradation of PET Through Manipulation of Disulfide Bonds
Discovered via OpenAlex
-
Advances in computational and data-driven methodologies for accelerating antimicrobial peptide design and discovery
Discovered via OpenAlex
-
Peptide Design for Targeting BTB Domain Homodimerization of BACH2: Complementary In Silico and In Vitro Approaches
Discovered via OpenAlex
-
Enhancing success rates in therapeutic antibody design through generative models
Discovered via OpenAlex
-
A protocol for single-sequence protein-RNA complex structure prediction using ProRNA3D-single
Discovered via OpenAlex
-
Predicting Ligand-Induced Conformational Selection: Co-Folding, Generative Docking, and the Pharmacophore Understanding Problem
Discovered via OpenAlex
-
Sampling antibody conformational ensembles with ABodyBuilder4-STEROIDS
-
Deep learning-guided discovery and engineering of binding peptides for accelerated enzymatic degradation of polyethylene terephthalate
Discovered via OpenAlex
-
Artificial intelligence in antibiotic discovery: Applications, challenges, and future outlook
Discovered via OpenAlex
-
Generative design of intrinsically disordered proteins based on conditioned protein language models: Data is the limit
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.4 Transformer-based · 5.Function to Sequence
-
Artificial allosteric protein switches with machine-learning-designed receptors
-
DualGPT-AB: a dual-stage generative optimization framework for therapeutic antibody design
Discovered via OpenAlex
-
A Hybrid Physics-Deep Learning Framework for Combinatorial De Novo Design of Small-Molecule Binding Proteins
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.5 GNN-based · 4.Scaffold to Sequence
-
A T-Cell Epitope Tandem Peptide Designed from Two Major Allergens of Crassostrea angulata Shows Potential for Inducing Dual Immune Tolerance
Discovered via OpenAlex
-
BOAT: Navigating the Sea of In Silico Predictors for Antibody Design via Multi-Objective Bayesian Optimization
Discovered via OpenAlex
-
Perturbing the energy landscape for improved packing during computational protein design
-
CryoAtom2: inverse folding-inspired deep learning enables accurate model building of protein-nucleic acid complexes in cryo-EM
Discovered via OpenAlex
-
From atoms to fragments: a coarse representation for efficient and functional protein design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 3. Function to Scaffold · 3.4 Diffusion-based
-
Peptide–Lipid Nanoparticles Enhance Cell Transfection Efficiency
Discovered via OpenAlex
-
Pareto-Optimal Offline Reinforcement Learning via Smooth Tchebycheff Scalarization
Discovered via OpenAlex
-
Comprehensive evaluation of artificial intelligence-empowered approaches for protein–aptamer complex prediction
Discovered via OpenAlex
-
Steering generative models for protein design: Aligning and conditioning strategies
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 1. Reviews · 1.1 De novo protein design
-
Integrative computational elucidation of molecular mechanisms and multi-target interactions in paraquat-induced pulmonary fibrosis
Discovered via OpenAlex
-
AI-driven discovery in protein science for immunology and infectious disease research
Discovered via OpenAlex
-
AI-Driven Prediction of Enzyme Structure and Function and Its Applications
Discovered via OpenAlex
-
Entangled happily ever after: Wedding reception seating mapped to classical and quantum optimizers
Discovered via OpenAlex
-
Új klonalitásvizsgálat a T-sejt-receptor béta-láncának konstans-1 és -2 régiójára specifikus antitestek használatával T-sejtes lymphoproliferatiókban
Discovered via OpenAlex
-
Generative design of intrinsically disordered protein regions with IDiom
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.4 Transformer-based · 5.Function to Sequence
-
AI-Designed Peptides as Tools for Biochemistry
-
Biologically-Grounded Multi-Encoder Architectures as Developability Oracles for Antibody Design
Discovered via OpenAlex
-
Thetazymes: Molecular Catalysts for Semantic Transitions Enzyme Design from Cost Minimization Applied to Meaning
Discovered via OpenAlex
-
Modification-aware AI enables terminal chemical modifications for peptide design and discovers potent antimicrobials
Discovered via OpenAlex
-
Negative design enables cell-free expression and folding of designed transmembrane β-barrels
Discovered via OpenAlex
-
AI protein design: constructing superstable proteins via maximized hydrogen bonding
Discovered via OpenAlex
-
AI-guided engineering of FAD-glucose dehydrogenase for enhanced processability and functional performance
Discovered via OpenAlex
-
Marine Antimicrobial Peptides: From Ocean Biodiversity to Genome Mining, Multi-Omics Discovery, and Biotechnological Innovation in the Battle Against Antimicrobial Resistance
Discovered via OpenAlex
-
Controllable Protein Design by Prefix-Tuning Protein Language Models
Discovered via OpenAlex
-
General Multimodal Protein Design Enables DNA-Encoding of Chemistry
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.2 Diffusion-based
-
A Rapid and Universal Pipeline for High-Resolution GPCR Structure Determination through In Silico Construct Optimization and de novo Protein Design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 2. Model-based design · 2.1.1 trRosetta-based
-
Jensen NHC-Scaffolded Ambient Nitrogenase: A De Novo Protein-Engineered Catalyst That Achieves Room-Temperature, Atmospheric-Pressure N₂ Fixation Superior to Both Biology and Haber-Bosch
Discovered via OpenAlex
-
Progress in Self-Assembled Extracellular Matrix Structural Protein Mimetic Peptides: From Rational Design and Assembly Pathways to Biomedical Applications
Discovered via OpenAlex
-
BB-EIT: A Generalized Prediction Model for Protein Adsorption on Polymer Brushes Using Augmented Chemical Embeddings
Discovered via OpenAlex
-
A Unified Substrate-Mediated Framework for Protein Function
Discovered via OpenAlex
-
High-PepBinder: A pLM-Guided Latent Diffusion Framework for Affinity-Aware Target-Specific Peptide Design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.12 Diffusion-based · 5.Function to Sequence
-
Leveraging Auxiliary Potentials in RFDiffusion for the Design of NA-Binding Proteins
Discovered via OpenAlex
-
Protein FID: improved evaluation of protein structure generative models
-
Protein design, generative AI and biological security
Discovered via OpenAlex
-
CROWN: Curated Repository Of Well-resolved Non-covalent interactions
Discovered via OpenAlex
-
Integrating the Biosynthesis and Genetic Encoding of Noncanonical Amino Acids for Enzyme Design and Catalysis
Discovered via OpenAlex
-
Exploring PadR Proteins for Artificial Enzyme Design
Discovered via OpenAlex
-
Structure-based design of p62-derived peptides that inhibit autophagy-associated readouts and enhance chemotherapy response in breast cancer cells
Discovered via OpenAlex
-
Transglycosylation Capabilities of Wild‐Type α‐ l ‐Fucosidase iso1 from Paenibacillus thiaminolyticus and Its Engineered Mutants: Preparation of Fucosylated Oligosaccharides
Discovered via OpenAlex
-
Deep Learning-Based Prediction of Protein Structure for Novel Antimicrobial Peptide Design
Discovered via OpenAlex
-
Explainable protein-protein binding affinity prediction via fine-tuning protein language models
Discovered via OpenAlex
-
Deep Learning‐Enabled Engineering of a Hyper‐Stable and Soluble MPB70 ‐83 Antigen for Sensitive Bovine Tuberculosis Surveillance
Discovered via OpenAlex
-
Biosynthetic Lanthanide-Luminescent Mini-Proteins Using Genetic Code Expansion
Discovered via OpenAlex
-
Descent from a common ancestor restricts exploration of protein sequence space
Discovered via OpenAlex
-
Decoupling Topology from Geometry: Detecting Large-Scale Conformational Changes via Conformational Scanning
Discovered via OpenAlex
-
Latent-Y: A Lab-Validated Autonomous Agent for De Novo Drug Design
Discovered via OpenAlex
-
Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute
Discovered via OpenAlex
-
Symmetric Self-play Online Preference Optimization for Protein Inverse Folding
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 3. Function to Scaffold · 3.5 RL-based
-
Deep homology and design of proteasome chaperone proteins in Candidozyma auris
Discovered via OpenAlex
-
Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering
Discovered via OpenAlex
-
Artificial Intelligence and Bioinformatics for Predicting Protein Structure, Function, and Molecular Interactions
Discovered via OpenAlex
-
Dual‐Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell‐Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy
Discovered via OpenAlex
-
Small-molecule binding and sensing with a designed protein family
Curated by Papers for Protein Design Using Deep Learning · 4.5 GNN-based · 4.Scaffold to Sequence
-
Triazole-centered bis-oxadiazole hybrids as high-affinity inhibitors of key diabetic enzymes: Design rationale, synthesis and computational validation
Discovered via OpenAlex
-
Protein Engineering and Immobilization of Imine Reductases for Pharmaceutical Synthesis: Recent Advances and Applications
Discovered via OpenAlex
-
KinForm: kinetics-informed feature optimised representation models for enzyme kcat and KM prediction
Discovered via OpenAlex
-
GYDE: A collaborative drug discovery platform for AI-powered protein design and engineering
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 7. Other tasks · 7.4 Framework
-
Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards
Discovered via OpenAlex
-
Rational Design of Peptide-Metal Coassemblies for Biomimetic Laccase: Integrating Computation and Experiment
Discovered via OpenAlex
-
Development of motif-specific monoclonal antibodies for global protein citrullination detection with minimal cross-reactivity to homocitrullination
Discovered via OpenAlex
-
Exploring the limits of pre-trained embeddings in machine-guided protein design: a case study on predicting AAV vector viability
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 7. Other tasks · 7.1 Effects of mutation & Fitness Landscape
-
AI-driven protein engineering: A new paradigm for plant trait design
Discovered via OpenAlex
-
ProteinMCP : An agentic AI framework for autonomous protein engineering
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 7. Other tasks · 7.4 Framework
-
AI-guided design of candidate BMPR1A-binding peptides for cartilage regeneration: a multi-tool computational benchmarking study
Discovered via OpenAlex
-
Discovering the Correlation between Theoretical and Experimental Binding Data for the HLA-A*0201 Molecule Using an Inverse Folding Approach
Discovered via OpenAlex
-
Polymerized Short Sequences as a Template for Protein Folding and Evolution
Discovered via OpenAlex
-
“Visualize, Explore, and Select”: A Protein Language Model-based Approach Enabling Navigation of Protein Sequence Space for Enzyme Discovery and Mining
Discovered via OpenAlex
-
VibeGen: Agentic end-to-end de novo protein design for tailored dynamics using a language diffusion model
Discovered via OpenAlex
-
SegDesign : A modular framework for controllable protein segment engineering
Discovered via OpenAlex
-
ZeroFold: Protein-RNA Binding Affinity Predictions from Pre-Structural Embeddings
Discovered via OpenAlex
-
Bio‐active designed peptide for hair keratin strengthening
Discovered via OpenAlex
-
Computational de novo design of an α-helical peptide targeting LIMD2 suppresses breast cancer cell proliferation
Discovered via OpenAlex
-
MIRADOR: Manifold of Immune Receptors And Drift-Optimized Responses : Geometry-First Co-Embedding for Vaccine and Antibody Design
Discovered via OpenAlex
-
PepBERT: Lightweight language models for bioactive peptide representation
Discovered via OpenAlex
-
Evaluating deep learning based structure prediction methods on antibody–antigen complexes
Discovered via OpenAlex
-
Engineering a hybrid chemical-biological system for efficient de novo taurine production via computational enzyme design and pathway engineering
Discovered via OpenAlex
-
Design, Optimization and Characterization of a de novo Gold Hydroaminase
-
Functional protein design and enhancement with ontology reinforcement iteration
Discovered via OpenAlex
-
ST-PARM: Pareto-Complete Inference-Time Alignment for Multi-Objective Protein Design
Discovered via OpenAlex
-
Reinforcement-guided generative protein language models enable de novo design of highly diverse AAV capsids
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.6 RL-based · 5.Function to Sequence
-
evedesign: accessible biosequence design with a unified framework
Discovered via OpenAlex
-
Spatial Multiomics Combining Lipids and Gene Expression Using MALDI ISH MSI
Discovered via OpenAlex
-
De novo Design Protein Binders Targeting the Hydrophobic Surface of DENV4 and ZIKV NS1 Dimer
Discovered via OpenAlex
-
Computer-Aided Directed Evolution Achieves Balanced Activity, Thermal Stability, and Selectivity in Stereoselective Carbonyl Reductase
Discovered via OpenAlex
-
AI-enabled protein design facilitates future plant research and crop breeding
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 1. Reviews · 1.1 De novo protein design
-
Artificial Intelligence in Chemical Engineering: Protein Design from First Principles to Structural Prediction
Discovered via OpenAlex
-
De Novo Protein Design Enables Targeting of Intractable Oncogenic Protein–Protein Interfaces
Discovered via OpenAlex
-
Interpretable Machine Learning for Protein Science: Structure, Function, and Interactions
Discovered via OpenAlex
-
YAPP-CD: yet another protein–peptide complex database
Discovered via OpenAlex
-
Artificial Intelligence-Driven Enzyme Engineering from Structural Prediction to De Novo Design
Discovered via OpenAlex
-
Binary Latent Protein Fitness Landscapes for Quantum Annealing Optimization
Discovered via OpenAlex
-
Single-Pass Discrete Diffusion Predicts High-Affinity Peptide Binders at >1,000 Sequences per Second across 150 Receptor Targets
Discovered via OpenAlex
-
De novo enzyme design: Controlling structure to design function
Discovered via OpenAlex
-
Computational Mapping and Targeting of BK Channel Protein–Protein Interactions in Breast Cancer
Discovered via OpenAlex
-
A generative explainable model for antimicrobial peptide prediction using bidirectional temporal convolutional neural network
Discovered via OpenAlex
-
VarDCL: A Multimodal PLM-Enhanced Framework for Missense Variant Effect Prediction via Self-distilled Contrastive Learning
Discovered via OpenAlex
-
ChEMBL-Derived Benchmark Dataset and Computational Results of Boltz-2-Based Binding Affinity Prediction
Discovered via OpenAlex
-
Artificial intelligence methods for protein structure and interaction prediction: Recent advances and challenges
Discovered via OpenAlex
-
Protein Design with Agent Rosetta: A Case Study for Specialized Scientific Agents
Discovered via OpenAlex
-
Refold: Refining Protein Inverse Folding with Efficient Structural Matching and Fusion
Discovered via OpenAlex
-
Bridging Generative AI and Diffusion Models With Molecular Simulation to Design Anti-Quorum-Sensing De novo Peptides Targeting LasR of Pseudomonas aeruginosa
Discovered via OpenAlex
-
Enantiodivergent Evolution of a De Novo Protein for Enzymatic [2 + 2] Photocycloaddition Activity
Discovered via OpenAlex
-
Deep learning revolutionizes protein research: Advances in structure prediction, functional annotation, and engineered design
Discovered via OpenAlex
-
ACENet: a graph neural network for predicting enzyme pHmin using structure and sequence insights
Discovered via OpenAlex
-
Impact of solvent forces and broken symmetry on the assembly of designed proteins at a liquid-solid interface
-
MAESD: A Unified Multi-Agent Evolutionary Framework for Protein Sequence Design
Discovered via OpenAlex
-
CHIMERA-Bench: A Benchmark Dataset for Epitope-Specific Antibody Design
Discovered via OpenAlex
-
Rational Design of Selective IL-2-based Activators for CAR T Cells Using AlphaFold3 and Physics-Informed Machine Learning
Discovered via OpenAlex
-
AI ‐assisted design of a VEGFR2 agonistic peptide that promotes angiogenesis and wound repair
Discovered via OpenAlex
-
EvoFlows: Evolutionary Edit-Based Flow-Matching for Protein Engineering
Discovered via OpenAlex
-
Nanomolar Sensitivity Chirality Transfer from Designed Helical Repeat Proteins to Achiral CdS Nanorods
-
Free energy perturbations in enzyme kinetic models reveal cryptic epistasis
Discovered via OpenAlex
-
Amino acid homorepeats act as buffers to maintain proteostasis and constrain the compatible sequence space of proteomes
Discovered via OpenAlex
-
A novel lipid-triggered allosteric site modulates LC3-LIR receptor binding activity
Discovered via OpenAlex
-
Protein Counterfactuals via Diffusion-Guided Latent Optimization
Discovered via OpenAlex
-
Observation of redistribution for local conformational dynamics in cross-reactive antibody design
Discovered via OpenAlex
-
Protein language model-guided generative design of affinity peptides for chromatographic purification of lentiviral vectors
Discovered via OpenAlex
-
Automated extraction and optimization of protein purification protocols using multi-agent large language models
Discovered via OpenAlex
-
How to make the most of your masked language model for protein engineering
Discovered via OpenAlex
-
CF2H: a cell-free two-hybrid platform for rapid protein binder screening
Discovered via OpenAlex
-
Review of AlphaFold3: A Groundbreaking Tool for Biomedical Applications
Discovered via OpenAlex
-
A paired sequence language model for protein-protein interaction modeling
Discovered via OpenAlex
-
Functional study of two flexible regions of the hepatitis E virus ORF1 replicase
Discovered via OpenAlex
-
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.2 VAE-based · 5.Function to Sequence
-
Applications and insights of NMR in enzyme engineering and biocatalysis
Discovered via OpenAlex
-
What comes after de novo ? Automated lead optimization of proteins with CRADLE-1
Discovered via OpenAlex
-
Property-driven Protein Inverse Folding With Multi-Objective Preference Alignment
Discovered via OpenAlex
-
Artificial Intelligence-Driven Discovery and Optimization of Antimicrobial Peptides Targeting ESKAPE Pathogens and Multidrug-Resistant Fungi
Discovered via OpenAlex
-
Catalytically active inclusion bodies of Bacillus clausii laccase protein recombinantly produced in E. coli for dye decolorization
Discovered via OpenAlex
-
Diffusion-ACP39: A Decoder-Adaptive Latent Diffusion Framework for Generative Anticancer Peptide Discovery
Discovered via OpenAlex
-
ProtAlign: Contrastive learning paradigm for Sequence and structure alignment
Discovered via OpenAlex
-
Miniprotein inhibitors of the Staphylococcus aureus efflux transporter NorA
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Structural insights into insect-selective sodium channel toxins drive AI-enhanced biopesticide design
Discovered via OpenAlex
-
Hydrogen–Deuterium Exchange Mass Spectrometry Reveals an Antibody-Induced Allosteric Pathway Driving SARS-CoV-2 Spike Trimer Disassembly
Discovered via OpenAlex
-
An Energy Landscape Approach to Miniaturizing Enzymes using Protein Language Model Embeddings
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 2. Model-based design · 2.4 LLM-based
-
Co-designing sequence and structure of functional de novo enzymes with EnzyGen2
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.6 Transformer-based
-
Unveiling the Intramolecular Thermodynamics of Multivalent Proteins: Exploratory Study on Engineered Protein Model
Discovered via OpenAlex
-
Foundation Artificial Intelligence Models in Animal Biotechnology: From Protein Structure Prediction to Genomic Language Models and Autonomous Laboratory Systems
Discovered via OpenAlex
-
Cloning, expression and characterisation of antigen-specific recombinant bat immunoglobulin from the black flying fox (Pteropus alecto)
Discovered via OpenAlex
-
Full-Atom Peptide Design via Riemannian–Euclidean Bayesian Flow Networks
Discovered via OpenAlex
-
AbAffinity: A Large Language Model for Predicting Antibody Binding Affinity against SARS-CoV-2
Discovered via OpenAlex
-
Genetically encoded assembly recorder temporally resolves cellular history
-
Deep learning-guided evolutionary optimization for protein design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 7. Other tasks · 7.1 Effects of mutation & Fitness Landscape
-
Designed peptides as affinity ligands for extracellular-vesicle-based cancer diagnosis
Discovered via OpenAlex
-
Structural Plausibility Without Binding Specificity: Limits of AI-Based Antibody-Antigen Structure Prediction Confidence Scores
Discovered via OpenAlex
-
Rigidity-Aware Geometric Pretraining for Protein Design and Conformational Ensembles
Discovered via OpenAlex
Preprint source: bioRxiv: Bioinformatics
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.8 Flow-based
-
High Diversity Gene Libraries Facilitate Machine Learning Guided Exploration of Fluorescent Protein Sequence Space
Discovered via OpenAlex
-
An Intelligent Genetic Algorithm–Based System for Automated University Course Allocation
Discovered via OpenAlex
-
EnzySeek: Efficient Exploration of Enzyme Reaction Pathways Using AI Agents
Discovered via OpenAlex
-
Structural plausibility without binding specificity
Discovered via OpenAlex
-
On the Reliability of AI Methods in Drug Discovery: Evaluation of Boltz-2 for Structure and Binding Affinity Prediction
Discovered via OpenAlex
-
Adversarial Sequence Mutations in AlphaFold and ESMFold Reveal Nonphysical Structural Invariance, Confidence Failures, and Concerns for Protein Design
Discovered via OpenAlex
-
BioPipelines: Accessible Computational Protein and Ligand Design for Chemical Biologists
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
The AI Revolution in Protein Science Current Status and Future Prospects for Biopharmaceutical Applications
Discovered via OpenAlex
-
Generative Protein Design for Physiological Intervention: Progress and Horizons
Discovered via OpenAlex
-
Protein Design Enters the Artificial Intelligence Era: Foundations, Tools, and Emerging Paradigms
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 1. Reviews · 1.1 De novo protein design
-
Generative design and validation of therapeutic peptides for glioblastoma based on a potential target ATP5A
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.8 Flow-based
-
Protein Language Model‐Driven Optimisation of Antimicrobial Peptide Pth‐Ca1 Against Pectobacterium brasiliense Using ESMFold ‐Predicted Structures and the ESM ‐3 Model
Discovered via OpenAlex
-
SaMCL: a multi-task collaborative learning framework for peptide-protein interaction prediction based on structure-aware protein language models
Discovered via OpenAlex
-
Structure-guided generative design of peptides targeting the FtsQBL divisome complex inhibit Escherichia coli cell division
Discovered via OpenAlex
-
A Comprehensive Survey of Multimodal LLMs for Scientific Discovery
Discovered via OpenAlex
-
Elucidating the catalytic mechanism of a previously undescribed carbohydrate esterase family 7 acetyl xylan esterase ( LaCE7A )
Discovered via OpenAlex
-
Antibody-enabled structural biology and AI-driven antibody design
Discovered via OpenAlex
-
Engineered Protein‐Cellulose Composite Hydrogels with Superior Mechanical Performance for Bioadhesion
Discovered via OpenAlex
-
De novo engineering of protein interactions: Retrospective and current advances
Discovered via OpenAlex
-
Computational dual-loop frameworks bridging single-enzyme design and cascade tunnel network engineering for next-generation biosynthetic systems
Discovered via OpenAlex
-
FAF1 and FAF2 enhance human p97-UFD1-NPL4 complex unfoldase activity enabling rational design of p97 activators
Discovered via OpenAlex
-
Rapid sequence-based screening of structure-disrupting protein mutations
Discovered via OpenAlex
-
Fluorescent Biosensor-Guided Engineering of Enzyme Cascades for Electrochemical Applications
Discovered via OpenAlex
-
Combining computer-aided enzyme design and chromosomal integration for plasmid-free biosynthesis of 1,5-pentanediol in Escherichia coli
Discovered via OpenAlex
-
In Silico Design of a Multimodal Trimeric Peptide Candidate Predicted to Simultaneously Target Glycemic Control, Autoimmunity, and Pancreatic β-Cell Regeneration in Type 1 Diabetes
Discovered via OpenAlex
-
Conditional diffusion with locality-aware modal alignment for generating diverse protein conformational ensembles
Discovered via OpenAlex
-
FLIP2: Expanding Protein Fitness Landscape Benchmarks for Real-World Machine Learning Applications
-
Defining the chromatin-associated protein landscapes on Trypanosoma brucei repetitive elements using synthetic TALE proteins
Discovered via OpenAlex
-
A Comprehensive Atlas and Machine-Learning Framework for Predicting IDR-Protein Binding Affinity
Discovered via OpenAlex
-
Binder2030: a quantitative membrane proteome binding dataset enabling AI-driven drug discovery
Discovered via OpenAlex
-
Deamidation and isomerization to elusive isoaspartate in a computationally designed miniprotein
Discovered via OpenAlex
-
Discovery of Peptide-Based Tubulin Inhibitors Through Structure-Guided Design
Discovered via OpenAlex
-
Rational design of synthetic proteins using a genome-scale CRISPR screen
Discovered via OpenAlex
-
Controllable protein design via autoregressive direct coupling analysis conditioned on principal components
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.10 Autoregressive-models · 5.Function to Sequence
-
Unified modeling of 3D molecular generation via atomic interactions with PocketXMol
Discovered via OpenAlex
-
ProtFlow: Flow Matching-based Protein Sequence Design with Comprehensive Protein Semantic Distribution Learning and High-quality Generation
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.7 Flow-based · 5.Function to Sequence
-
Pichia-CLM: A language model–based codon optimization pipeline for Komagataella phaffii
Discovered via OpenAlex
-
Large-scale exploration of protein space by automated NMR
Discovered via OpenAlex
-
AlphaFold2 ‐Guided Cyclic Peptide Stabilizer Design to Target Protein–Protein Interactions
Discovered via OpenAlex
-
MAC-AMP: A Closed-Loop Multi-Agent Collaboration System for Multi-Objective Antimicrobial Peptide Design
Discovered via OpenAlex
-
Enhancing the Comprehensive Stability of Candida parapsilosis Carbonyl Reductase in Biphasic Systems through Rational Protein Design
Discovered via OpenAlex
-
Enhancing ML-based binder design with high-throughput screening: a comparison of mRNA and yeast display technologies
Discovered via OpenAlex
-
Crispr-Based catalysts for selective bond activation
Discovered via OpenAlex
-
Active Molecular Interception: De Novo Designed Proteins as a New Paradigm in the Management of Uremic Toxins
Discovered via OpenAlex
-
Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design
Discovered via OpenAlex
-
Overcoming structural complexity in Galectin-3BP through an integrative computational antibody design workflow
Discovered via OpenAlex
-
Balancing the extremes for antibody developability: hydrophobic and electrostatic germline framework signatures for CDR-loop compensation
Discovered via OpenAlex
-
Rational protein design
Discovered via OpenAlex
-
MemPPI platform for measuring and engineering membrane protein–protein interactions in mammalian cells via split nanoluciferase
Discovered via OpenAlex
-
Albumin-Binding Domains in Therapeutic Protein Engineering: A Structural and Computational Perspective on Rational Design
Discovered via OpenAlex
-
From Host-Derived Pressures to the Environmental Anti-Antimicrobial Peptides Resistome: Mechanisms, Reservoirs and Implications for Therapeutic Peptide Design
Discovered via OpenAlex
-
Smart Antibiofilm Platforms Based on Synthetic Antimicrobial Peptides-Engineered Hydrogels
Discovered via OpenAlex
-
Embedding-Guided Design Rules for Programmable Mitochondrial Protein Import and Modular Organelle Organization
Discovered via OpenAlex
-
De novo functional protein sequence generation: overcoming data scarcity through regeneration and large language models
Discovered via OpenAlex
-
Reading TEA leaves for de novo protein design
Discovered via OpenAlex
-
A Systematic Benchmark for Peptide Property Prediction
Discovered via OpenAlex
-
Generalise or Memorise? Benchmarking Ligand-Conditioned Protein Generation from Sequence-Only Data
Discovered via OpenAlex
-
Improving the Thermostability of the Qβ Bacteriophage Coat Protein Through Single-Site Mutation Based on Molecular Dynamics
Discovered via OpenAlex
-
Decoupling Structure and Property in Discrete Protein Diffusion: Alignment Dynamics and Collapse Mechanisms
Discovered via OpenAlex
-
TerraBind: Fast and Accurate Binding Affinity Prediction through Coarse Structural Representations
Discovered via OpenAlex
-
Subtimizer: Computational Workflow for Structure-Guided Design of Potent and Selective Kinase Peptide Substrates
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.5 GNN-based · 4.Scaffold to Sequence
-
Translational potential of AI-driven de novo protein binders for crop protection and improvement
Discovered via OpenAlex
-
SaDiT: Efficient Protein Backbone Design via Latent Structural Tokenization and Diffusion Transformers
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 3. Function to Scaffold · 3.4 Diffusion-based
-
A roadmap for AI-driven protein design
Discovered via OpenAlex
-
Mesostructured Water Enhances Stability of ProteinMPNN-Designed Ubiquitin-Fold Proteins
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.5 GNN-based · 4.Scaffold to Sequence
-
De novo protein design: a transformative frontier in clinical protein applications
Discovered via OpenAlex
-
Designing protein/non-protein binding interactions using a full-atom diffusion model
Discovered via OpenAlex
-
RIGA-Fold: A General Framework for Protein Inverse Folding via Recurrent Interaction and Geometric Awareness
Discovered via OpenAlex
-
Computational design of blue melanin with peptide motif scaffolding
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Generative AI for Enzyme Design and Biocatalysis
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 1. Reviews · 1.5 Enzyme design
-
Harnessing AI for Antimicrobial Peptide Innovation against Multidrug Resistance
Discovered via OpenAlex
-
Antimicrobial Peptide Nanoassemblies: Design, Response Mechanisms, and Biomedical Applications
Discovered via OpenAlex
-
Design of novel enzymes with the incorporation of noncanonical amino acids
Discovered via OpenAlex
-
A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning
Discovered via OpenAlex
-
Biological nitrogen and carbon fixation: Bridging the gap between synthetic symbioses and synthetic biology
Discovered via OpenAlex
-
Benchmarking Generative AI Protein Models Reveals Differences Between Structural and Sequence-based Approaches
Discovered via OpenAlex
-
Designing de novo TIM barrels: insights into stabilization, diversification, and functionalization strategies
Discovered via OpenAlex
-
The mitochondria-targeted peptide HDAP2 reduces mitochondrial loss and retinal ganglion cell degeneration after optic nerve injury
Discovered via OpenAlex
-
Antimicrobial Peptides and Artificial Intelligence: Promising Tools for Sustainable Agriculture Practices
Discovered via OpenAlex
-
Greener and cleaner: The industrial potential of cold-active and Alkaliphilic proteases
Discovered via OpenAlex
-
An AI-Native Biofoundry for Autonomous Enzyme Engineering: Integrating Active Learning with Automated Experimentation
Discovered via OpenAlex
-
Characterising nanobody developability to improve therapeutic design using the Therapeutic Nanobody Profiler
-
Topological reprogramming transforms an integral membrane oligosaccharyltransferase into a water-soluble glycosylation catalyst
-
Artificial intelligence in biologic drug discovery: A review of methodological evolution and therapeutic applications
Discovered via OpenAlex
-
Nab-paclitaxel fused with the de novo designed receptor binder exhibits enhanced tumor targeting and therapeutic efficacy
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.5 GNN-based · 4.Scaffold to Sequence
-
Artificial intelligence driven protein design and sustainable nanomedicine for advanced theranostics
Discovered via OpenAlex
-
Multi-scale structural similarity embedding search across entire proteomes
Discovered via OpenAlex
-
KmPred: prediction of Michaelis constants (Km) using an integrative machine learning framework
Discovered via OpenAlex
-
Minimal-Action Discrete Schrödinger Bridge Matching for Peptide Sequence Design
-
The missing link between biomolecular condensates and amyloid fibrils
Discovered via OpenAlex
-
Deep learning enables accurate design of functional transmembrane proteins
Discovered via OpenAlex
-
An Artificial Intelligence-based framework for protein interaction design with accelerated KAN-based Positive-Unlabeled learning
Discovered via OpenAlex
-
ProDCARL: Reinforcement Learning-Aligned Diffusion Models for De Novo Antimicrobial Peptide Design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.12 RL-based · 4.Scaffold to Sequence
-
A new benchmark for deep learning based affinity prediction: Solving the inter-protein scoring noise problem
Discovered via OpenAlex
-
Mapping targetable sites on the human surfaceome for the design of novel binders
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.4 CNN-based
-
Enzyme-Responsive Hemostatic Elastin-like Polypeptides for Fibrin Stabilization and Coagulation Restoration in Thrombocytopenia
Discovered via OpenAlex
-
Mapping targetable sites on the human surfaceome for the design of novel binders
Discovered via OpenAlex
-
CO₂ Responsive Nanoscopic and Macroscopic Materials Directed by Peptides
Discovered via OpenAlex
-
Screening and Engineering of Ancestral Sortase Es That Enable High-Fidelity Enzyme Design with Activity Trade-Off
Discovered via OpenAlex
-
De novo design of potent CRISPR–Cas13 inhibitors
Discovered via OpenAlex
-
Overcoming systematic data biases enables accurate prediction of enzyme k cat fold-changes for computational protein design
Discovered via OpenAlex
-
Surf2Spot: A Surface-Informed Geometry-Aware Model for Predicting Binder and Nanobody Design Hotspots
Discovered via OpenAlex
-
Protein Language Model‐Guided Engineering of a 2,3‐Butanediol Dehydrogenase for the Enantioselective Synthesis of Cyclic α ‐Hydroxy Ketones
Discovered via OpenAlex
-
ESMDisPred: A Structure-Aware CNN-Transformer Architecture for Intrinsically Disordered Protein Prediction
Discovered via OpenAlex
-
Computational design of intrinsically disordered proteins
Discovered via OpenAlex
-
Benchmarking generative scaffold design methods for peptide engineering in TCR–MHC complexes
Discovered via OpenAlex
-
Molecular Design in l -Glutamic Acid-Based Peptide Assembly Dynamics Driven by Carbodiimide-Fueled Reaction Cycle
Discovered via OpenAlex
-
HMB-002: a monovalent antibody that elevates circulating VWF and FVIII levels for treatment of von Willebrand disease
Discovered via OpenAlex
-
High-Affinity Protein Binder Design via Flow Matching and In Silico Maturation
Discovered via OpenAlex
-
GeoGAD: geometry-aware antibody design framework for complementarity-determining region precision engineering
Discovered via OpenAlex
-
Without safeguards, AI-Biology integration risks accelerating future pandemics
Discovered via OpenAlex
-
Hybrid Dual-Context Prompted Cross-Attention Framework with Language Model Guidance for Multi-Label Prediction of Human Off-Target Ligand–Protein Interactions
Discovered via OpenAlex
-
ProteinDJ : A high‐performance and modular protein design pipeline
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Energy-driven innovations in computational de novo protein engineering
Discovered via OpenAlex
-
Peptide cheminformatics tools: making computational tasks accessible in peptide drug discovery
Discovered via OpenAlex
-
Integration of Evolutionary Analysis With RFdiffusion for De Novo Design of Aggregation‐Resistant Frataxin
Discovered via OpenAlex
-
Evaluating zero‐shot prediction of monomeric protein design success by AlphaFold , ESMFold , and ProteinMPNN
Discovered via OpenAlex
-
De novo protein–ligand design including protein flexibility and conformational adaptation
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 2. Model-based design · 2.1.1 trRosetta-based
-
Guiding Cells with Light and Chemicals: A Toolbox for Dynamic Studies of Cell Migration
Discovered via OpenAlex
-
Ab-SELDON: Leveraging Diversity Data for an Efficient Automated Computational Pipeline for Antibody Design
Discovered via OpenAlex
-
Computer-assisted hapten design for developing an ultrasensitive antibody with recognition mechanism analysis and its application in the rapid detection of topramezone
Discovered via OpenAlex
-
One-Step Design of Potent and Nonhemolytic Antimicrobial Peptides by Using a Database-Guided, Nonmachine Learning Approach
Discovered via OpenAlex
-
Prediction of Salmon Inhibitor Peptides For DPP-IV Proteins Using Molecular Docking
Discovered via OpenAlex
-
Inhibition of LONP1 in prostate cancer: bibliometrics-guided target screening and AI-driven antibody design
Discovered via OpenAlex
-
PepEDiff: Zero-Shot Peptide Binder Design via Protein Embedding Diffusion
Discovered via OpenAlex
-
Nonspecific Cellular Interactions Are a Key Determinant in the Disposition of Fc-Fused Proteins
-
Biomolecular condensation using de novo designed globular proteins
Discovered via OpenAlex
-
A Minimal Computational Workflow for CDR-H3-Inspired Cyclic Peptide Design Targeting an Antibody-Defined Epitope
Discovered via OpenAlex
-
AutoBinder Agent: An MCP-Based Agent for End-to-End Protein Binder Design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.4 CNN-based
-
Deep learning-driven protein structure prediction and design: Key model developments by Nobel laureates and multi-domain applications
Discovered via OpenAlex
-
Protein engineering of a genetically encoded biosensor for wastewater detection of profen NSAIDs
Discovered via OpenAlex
-
Chiral Core Alpha-Z2
Discovered via OpenAlex
-
Templating and confining calcium phosphate mineralization within designed protein assemblies
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Origin-1: a generative AI platform for de novo antibody design against novel epitopes
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.5 GNN-based · 4.Scaffold to Sequence
-
Computational Redesign and Mechanistic Insights into P450BM3 Enable Regioselective C–H Hydroxylation of Structurally Diverse Steroids
Discovered via OpenAlex
-
Structural Insights into the Receptor-Binding Domain of Bat Coronavirus HKU5-CoV-2: Implications for Zoonotic Transmission via ACE2
Discovered via OpenAlex
-
Balancing speed and precision in protein folding: a comparison of AlphaFold2, ESMFold, and OmegaFold
Discovered via OpenAlex
-
Designing AI-programmable therapeutics with the EDEN family of foundation models
-
Benchmarking co-folding methods to predict the structures of covalent protein–ligand complexes
Discovered via OpenAlex
-
Improved protein binder design using β-pairing targeted RFdiffusion
-
The computationally designed TRI2-2 miniprotein inhibitor protects against multiple SARS-CoV-2 Omicron variants
-
Multi-objective optimization for designing structurally similar proteins with dissimilar sequences
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.5 GNN-based · 4.Scaffold to Sequence
-
In silico design of stable single-domain antibodies with high affinity
Discovered via OpenAlex
-
Identification and Characterization of an In Silico Designed Membrane‐Active Peptide with Antiviral Properties
Discovered via OpenAlex
-
AntibodyDesignBFN: High-Fidelity Fixed-Backbone Antibody Design via Discrete Bayesian Flow Networks
Discovered via OpenAlex
-
Tensor-DTI: Enhancing Biomolecular Interaction Prediction with Contrastive Embedding Learning
Discovered via OpenAlex
-
Computational design of conformation-biasing mutations to alter protein functions
Discovered via OpenAlex
-
Novel dual-functional peptides designed via NanoBiT spike pseudovirus system for real-time monitoring and inhibition of SARS-CoV-2 infection
Discovered via OpenAlex
-
Systematic evaluation of attention mechanisms in transformer models for De Novo UTS-driven silk protein sequence design
Discovered via OpenAlex
-
MolOrgGPT: De Novo Generation via Large Language Models and Reinforcement Learning
Discovered via OpenAlex
-
Deep learning guided design of protease substrates
-
AI Guided Protein Design for Next‐Generation Autogenic Engineered Living Materials
Discovered via OpenAlex
-
De novo design of metalloproteases for targeted amyloid-β cleavage
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.2 Diffusion-based
-
De Novo Design of Zearalenone Binding Proteins: A Comparison of Tamarind Bio and CARPdock-NISE-Boltz-2 Pipelines for Biosensor Applications
Discovered via OpenAlex
-
Protein Language Models and Structure-Based Machine Learning for Prediction of Allosteric Binding Sites in Protein Kinases: An Explainable AI Framework Grounded in Energy Landscape-Encoded Frustration
Discovered via OpenAlex
-
Advances in the Modification of Enzymatic Properties Based on Protein Engineering Strategies
Discovered via OpenAlex
-
Computational epitope discovery and in silico design of a bispecific antibody model (COMED hook) to block Plasmodium invasion into erythrocytes
Discovered via OpenAlex
-
Protein foundation models: a comprehensive survey
Discovered via OpenAlex
-
Dual‐Anchored Clickable Peptide via SPAAC for Gelatinase‐Responsive Antibacterial and Osteogenic Functions on Titanium Implants
Discovered via OpenAlex
-
Teleological Rendering Engine (TRE) for de novo Protein Design
Discovered via OpenAlex
-
Design of solubly expressed miniaturized SMART MHCs
-
AI-assisted protein design to rapidly convert antibody sequences to intrabodies targeting diverse peptides and histone modifications
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.5 GNN-based · 4.Scaffold to Sequence
-
Ultra-Short Peptide Hydrogels as 3D Bioprinting Materials
Discovered via OpenAlex
-
A comprehensive survey on artificial intelligence for biomolecule design
Discovered via OpenAlex
-
Structural dynamics of plant transcription factors and their functional implications
Discovered via OpenAlex
-
Bind, catalyze, and quantify: a modern protein and enzyme engineering toolbox of genetically encoded non-canonical amino acids
Discovered via OpenAlex
-
Benchmarking antigen-aware inverse folding methods for antibody design
Discovered via OpenAlex
-
Nanopore sequencing with proteins: synchronization and dischronization of molecular dynamics simulations with laboratory and industrial developments
Discovered via OpenAlex
-
Integrating machine learning tools in protein design: a case of MHETase engineering for PET biodeconstruction
Discovered via OpenAlex
-
D-Flow : Multi-modality Flow Matching for D-peptide Design
Discovered via OpenAlex
-
CoV-UniBind: a unified antibody binding database for SARS-CoV-2
Discovered via OpenAlex
-
Synthetic Sequence Alignments As Programmable Probes of Conformational Landscapes in Deep Learning Protein Structure Prediction
Discovered via OpenAlex
-
A platform to design and optimise fluorogenic scFvs for detection of interleukin 33
Discovered via OpenAlex
-
Mass spectrometry integrates protein design into structural biology method development
Discovered via OpenAlex
-
MiLaSol: modeling protein solubility by mixing up multiple protein language models
Discovered via OpenAlex
-
Exploring the hydrogen bond enhanced halogen bond as a tool for biomolecular design and engineering
Discovered via OpenAlex
-
Physics-informed deep learning: A new paradigm for macromolecular recognition and rational protein design
Discovered via OpenAlex
-
In silico Selection of Enzymatic Targets and Chimeric Protein Design for Gliotoxin Inactivation
Discovered via OpenAlex
-
Polymorph-Independent Resistance to Generative Protein Design Across Five Tau Fibril Folds: A Cross-Tauopathy Benchmark
Discovered via OpenAlex
-
Polymorph-Dependent Success of Generative Protein Design Against Amyloid Fibrils: A Cross-Method Benchmark Including AL Amyloidosis
Discovered via OpenAlex
-
AI-Guided De Novo Design of Miniprotein Binders against Daboia russelii Acidic Phospholipase A₂ A8CG86: A Multi-Method Framework to Select Candidates before Recombinant Production
Discovered via OpenAlex
-
Engineering serum stable protein nanosheets with reduced macrophage uptake
Discovered via OpenAlex
-
A thorny path to restore native-level activity in ProteinMPNN-designed NAD+-dependent L-threonine 3-dehydrogenase: Stability gains, activity losses, and recovery strategies
Discovered via OpenAlex
-
CyclicMPNN: stable cyclic peptide sequence generation
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.5 GNN-based · 4.Scaffold to Sequence
-
Engineered α‐Helical Peptides with Chelating Agents as Approach to Antibacterial Therapeutics
Discovered via OpenAlex
-
3D self-assembly of cyclic peptides into multilayered nanosheets
Discovered via OpenAlex
-
HFGuidedDesign: de novo design of cyclic peptide binders via structure-guided discrete diffusion
Discovered via OpenAlex
-
Advanced bispecific antibody design and inhaled biologics; emerging strategies for asthma
Discovered via OpenAlex
-
Design of permeability-optimized target-binding macrocycles via direct preference optimization
Discovered via OpenAlex
-
MAPLE: a machine-learning force-field-native platform for automated reaction modeling and enzyme design
Discovered via OpenAlex
-
Host-directed antimicrobial peptide biomaterials for combating Gram-negative bacterial infections
Discovered via OpenAlex
-
Additional file 1 of All-atom protein sequence design using discrete diffusion models
Discovered via OpenAlex
-
Designing Novel Antiviral Peptides Targeting Dengue NS3 Protease via Long Short‐Term Memory Model, Molecular Docking and Molecular Dynamics Simulations
Discovered via OpenAlex
-
AI‐driven antibody design from an antigen sequence
Discovered via OpenAlex
-
Advancements in enzyme engineering for industrial biotechnology
Discovered via OpenAlex
-
Additional file 1 of Combining computer-aided enzyme design and chromosomal integration for plasmid-free biosynthesis of 1,5-pentanediol in Escherichia coli
Discovered via OpenAlex
-
PROJECT ZeroFold ║ ║ ║ ║ The Protein Structure Hidden ║ ║ for 70 Years ║ ║ ║ ║ A Universal Target for ║ ║ Neurodegenerative Disease ║ ║
Discovered via OpenAlex
-
Új klonalitásvizsgálat a T-sejt-receptor béta-láncának konstans-1 és -2 régiójára specifikus antitestek használatával T-sejtes lymphoproliferatiókban = Novel T-cell clonality assessment using T-cell receptor beta constant region 1 and 2 antibodies in T-cell lymphoproliferative disorders
Discovered via OpenAlex
-
PhytoNB: AI-enabled Nanobody Design in Plants
Discovered via OpenAlex
-
Resolving Sequence-Structure Misalignment in Antibody Design via Consistency-Aware Flow Matching
Discovered via OpenAlex
-
Diffusion Models for Macrocyclic Peptide Design Using Stability, Permeability, and Binding Constraints
Discovered via OpenAlex
-
Photocontrol of Microtubule Structures Based on Peptide Design
Discovered via OpenAlex
-
Poly(glutamic acid- block -tyrosine) peptides designed for gastrointestinal drug adsorption
Discovered via OpenAlex
-
Insights into the interactions and molecular dynamics of potent inhibitory peptides against BLEG-1 B3 metallo-β-lactamase through molecular dynamics simulations
Discovered via OpenAlex
-
Programmable short peptide condensates with intrinsic enzyme-like activity
Discovered via OpenAlex
-
Multi-Property Optimization of Antimicrobial Peptides Using Reinforcement Learning and Conditional Independence Regularization
Discovered via OpenAlex
-
Gen-YSD: An Experiment-Aware Generative AI Pipeline for Closing the Sim-to-Real Gap in Pan-Hantavirus Antibody Design
Discovered via OpenAlex
-
De Novo Design of High-Affinity Antibody Using an Antigen-Aware Diffusion Framework
Discovered via OpenAlex
-
Computational data as the fuel for AI in chemistry
Discovered via OpenAlex
-
Disclosed and Undisclosed GPU Hardware Exclusion Across the Modern Protein Structure Prediction and Design Toolchain: A Compute-Accessibility Audit
Discovered via OpenAlex
-
Benchmarking AI-driven protocols for cyclic peptide conformer prediction and ranking
Discovered via OpenAlex
-
The evolution of computation-driven paradigms in targeted peptide drug design: From predictive modeling to generative AI and clinical translation
Discovered via OpenAlex
-
GeoCTP: Structure-aware Prediction of Multifunctional Cancer Therapy Peptides via Graph Transformer and Contrastive Learning
Discovered via OpenAlex
-
AI as the Ultimate Tool for Science: A Conversation with Demis Hassabis
Discovered via OpenAlex
-
Combining bacterial display and protein language models to engineer a CD69-binding affibody for molecular imaging of immune activation
Discovered via OpenAlex
-
A Multi-View Contrastive Graph Learning Framework for RNA–Protein Interaction Prediction
Discovered via OpenAlex
-
Deep Learning–Driven De Novo Design of Antimicrobial Peptides Active in Human Serum: A Systematic Review of Architectures, Serum Conditions, and Activity Retention
Discovered via OpenAlex
-
Reinforcement Learning Based Design of Protein-binding RNA Sequences
Discovered via OpenAlex
-
Generative Artificial Intelligence in Biology and Medicine
Discovered via OpenAlex
-
Advancing High-Performance Protein Engineering Beyond Conventional Knowledge: From Supervised Machine Learning to Protein Language Models
Discovered via OpenAlex
-
CodonOptimus: A Ribosome-Profiling-Supervised Foundation Model For Codon Optimisation and Recombinant Protein Production in Microbial Cell Factories
Discovered via OpenAlex
-
Emergent-scale prediction of molecular properties with chemically-informed neural networks
Discovered via OpenAlex
-
Method-, conformer-count-, and solvent-robust ranking of natural-product screening corpora via xtb semi-empirical quantum chemistry: a multi-axis robustness benchmark
Discovered via OpenAlex
-
Cost-Aware Multi-Fidelity Bayesian Optimization with Runtime-Gated Cascading Tiers for Autonomous in silico Dermatology Discovery
Discovered via OpenAlex
-
in silico design of a multimodal trimeric peptide candidate predicted to simultaneously target glycemic control, autoimmunity, and pancreatic ß-cell regeneration in type 1 diabetes
Discovered via OpenAlex
-
De Novo-Designed Fluorescent Binding Protein-Based Screening of a High Tannase-producing Klebsiella Strain from Daqu
Discovered via OpenAlex
-
AI-driven prediction of 14-3-3–intrinsically disordered protein interactions: From SLiM discovery to structural modeling of dynamic binding interfaces
Discovered via OpenAlex
-
Dynamics-informed RFdiffusion for de novo design of binders against the KRAS conformational ensemble
Discovered via OpenAlex
-
Assessing the potential of deep learning for protein–ligand docking
Discovered via OpenAlex
-
Rational Engineering in Protein Crystallization: Integrating Physicochemical Principles, Molecular Scaffolds, and Computational Design
Discovered via OpenAlex
-
SeedProteo: Accurate De Novo All-Atom Design of Protein Binders
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.2 Diffusion-based
-
Curiosity-driven de novo protein design via polymerized amyloids
Discovered via OpenAlex
-
Self-Assembled Hydrogel from Pyrene-Modified Peptide as 3D Matrices for Neuronal Cell
Discovered via OpenAlex
-
Engineering a broad-spectrum glucose oxidase via substrate channel and linker design for enhanced lignocellulose bioconversion
Discovered via OpenAlex
-
A patchy-particle three-dimensional octagonal quasicrystal
Discovered via OpenAlex
-
Adaptive Protein Design and Optimization (APDO): An Energy-Driven Framework for Protein Structure Optimization
Discovered via OpenAlex
-
Iterative Epitope Expansion Enables Structure-Guided de novo Design of IgE-Binding Miniproteins Targeting the Fc ε RI Interface
Discovered via OpenAlex
-
Geometric deep learning assists protein engineering. Opportunities and Challenges
Discovered via OpenAlex
-
To Predict is to Design: Unlocking Generative Capabilities in All-Atom Structure Predictors via Geometric Score Distillation
Discovered via OpenAlex
-
Supramolecular self-assembled peptide scaffolds for fluorescence enhancement and delayed emission
Discovered via OpenAlex
-
DuaDeep-SeqAffinity: Dual-Branch Deep Learning for Tri-Stream Sequence-Based Antibody--Antigen Affinity Prediction
Discovered via OpenAlex
-
Clearing the whey: Efficient inhibition and removal of chymosin from whey by de novo designed protein-based inhibitors
Discovered via OpenAlex
-
B-PPI: A Cross-Attention Model for Large-Scale Bacterial Protein-Protein Interaction Prediction
Discovered via OpenAlex
-
FlashBind: Towards Accurate and Efficient Structure-based Virtual Screening
Discovered via OpenAlex
-
Stable de novo protein design via joint conformational landscape and sequence optimization
-
Mechanistic Interpretability of Fine-Tuned Protein Language Models for Nanobody Thermostability Prediction
Discovered via OpenAlex
-
Self-assembling protein cages: from coiled-coil module to machine learning-driven de novo design of next-generation biomaterials
Discovered via OpenAlex
-
Computational design and experimental characterization of mini-protein binders targeting Nipah, Langya and Measles virus receptor-binding domains
Discovered via OpenAlex
-
De novo design of protein binders that target DELE1 to inhibit the mitochondrial stress response
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Peptide-Based Cancer Vaccines: Engineering Immune Precision Against Tumor Evolution
Discovered via OpenAlex
-
LMProtein: a protein language model based framework for protein structural property prediction
Discovered via OpenAlex
-
Combinatorial Protein Language Model–Guided Engineering of TEV Protease for Enhanced Stability and Production
Discovered via OpenAlex
-
Experimental analyses of RFdiffusion designed Miniproteins for binding to SARS-CoV-2 nucleocapsid protein
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
De novo design of protein nanoparticles with integrated functional motifs
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
De novo designed bifunctional proteins for targeted protein degradation
Discovered via OpenAlex
-
A Multiepitope Protein Based on Selected Synthetic Peptides Enables Effective Serological Screening of Exposure to Mycobacterium leprae
Discovered via OpenAlex
-
Protein design and RNA design: Perspectives
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 1. Reviews · 1.1 De novo protein design
-
Computational Protein Design – Test report and proposal
Discovered via OpenAlex
-
AI-Driven Enzyme Engineering: Emerging Models and Next-Generation Biotechnological Applications
Discovered via OpenAlex
-
From traditional to AI-driven: The evolution of intelligent enzyme engineering for biocatalysis
Discovered via OpenAlex
-
Microbial engineering for sustainable microplastic biodegradation: from enzyme redesign to synthetic consortia
Discovered via OpenAlex
-
Evolutionary Decoding of the Bacillus subtilis Secretome: Insights from Pan-Genomics and Deep Learning
Discovered via OpenAlex
-
A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases
Discovered via OpenAlex
-
AI-guided design of cyclic peptide binders targeting TREM2 using CycleRFdiffusion and experimental validation
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
-
Generalizable and scalable protein stability prediction with rewired protein generative models
Discovered via OpenAlex
-
Computational Protein Design – Validation & Benchmarking Update
Discovered via OpenAlex
-
Single-shot design of a cyclic peptide inhibitor of HIV membrane fusion
Discovered via OpenAlex
-
Transformation of Protein Design: From Traditional Approaches to AI-Driven Precision Engineering
Discovered via OpenAlex
-
Understanding the Performance Behaviors of End-to-End Protein Design Pipelines on GPUs
Discovered via OpenAlex
-
Structure-Aware Antibody Design with Affinity-Optimized Inverse Folding
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.7 Transformer-based · 4.Scaffold to Sequence
-
Glucosinolate–Myrosinase Formulations for Adult Obesity: Towards Next Generation of Bioactive Therapies
Discovered via OpenAlex
-
Evolution and design shape protein dynamics in LOV domains – spanning picoseconds to days
Discovered via OpenAlex
-
SurfFold: a unified model for protein inverse folding by integrating surface and structural information
Discovered via OpenAlex
-
Harnessing advances in artificial intelligence for protein design
Discovered via OpenAlex
-
LoMuS: Low-Rank Adaptation with Multimodal Representations Improves Protein Stability Prediction
Discovered via OpenAlex
-
De novo designed protein enables precise epitope-level control of Gremlin-1 antagonism
Discovered via OpenAlex
-
VHH antibody loop guides design of a synthetic macrocyclic peptide that potently blocks influenza virus membrane fusion
Discovered via OpenAlex
-
Electrochemical techniques in protein engineering: Innovations in redox-active protein design and electron transfer mechanisms
Discovered via OpenAlex
-
HD-Prot: A Protein Language Model for Joint Sequence-Structure Modeling with Continuous Structure Tokens
Discovered via OpenAlex
-
Development of a highly functional thermostable D-amino acid oxidase for efficient L-phosphinothricin biosynthesis using ProteinMPNN-guided engineering
Discovered via OpenAlex
-
Meta-Learning for Binding Affinity Prediction in Fixed-Target DARPin Engineering
Discovered via OpenAlex
-
Computational reconstruction of Tyrannosaurus rex collagen for biomanufacturing of paleo-inspired biomaterials with tuneable stiffness
Discovered via OpenAlex
-
Computational redesign of the heme acquisition protein HasA for enhanced thermostability while retaining its ability to bind synthetic metalloporphyrins
Discovered via OpenAlex
-
Deep learning–driven protein binder design for crop improvement
Discovered via OpenAlex
-
Sequence and structural determinants of efficacious de novo chimeric antigen receptors
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 2. Model-based design · 2.1.1 trRosetta-based
-
Inspired by the catalytic properties of biological enzymes: Design of bifunctional catalytic flame retardants for enhanced polyurethane flame retardancy
Discovered via OpenAlex
-
A bispecific antibody designed to act as a NRP2/PLXNA1 agonist mimics anticancer activity of SEMA3F
Discovered via OpenAlex
-
SoluBat: A bidirectional mamba framework for high-throughput protein solubility prediction in bioprocess optimization
Discovered via OpenAlex
-
Structure-based design of macrocyclic peptides to generate functional antibodies against G protein-coupled receptors
Discovered via OpenAlex
-
A dual-responsive AI-designed peptide P9-conjugate disrupts E6–E6AP Interface to restore p53 and suppress HPV16-driven cervical cancer
Discovered via OpenAlex
-
Applications of AlphaFold in the Medical Field
Discovered via OpenAlex
-
Self Distillation Fine-Tuning of Protein Language Models Improves Versatility in Protein Design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.4 Transformer-based · 5.Function to Sequence
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Rapid Assessment of Chemical Complementarity of Ligands for Protein Design
Discovered via OpenAlex
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AI Guided Mutation Prediction and Vaccine Development Using Inverse Folding
Discovered via OpenAlex
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De novo design of epitope-specific antibodies via a structure-driven computational workflow
Discovered via OpenAlex
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Intelligent enzyme design and hybrid catalytic systems: Driving innovation in biocatalysis
Discovered via OpenAlex
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Engineering a Covalent Linkage into a Dimeric De Novo Enzyme Reveals a Novel Life-Sustaining Mechanism
Discovered via OpenAlex
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De novo generation of functional terpene synthases using TpsGPT
Discovered via OpenAlex
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Advances in benzaldehyde lyase-catalyzed biotransformations: From enzyme engineering to industrial applications
Discovered via OpenAlex
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Cohort-Based Learning of Computational Protein Design: Engineering a Helical Protein To Improve Its Stability
Discovered via OpenAlex
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AcidProNet: Acidophilic Protein Classification via DCGAN-GP-Based Data Augmentation and Parameter-Shared Mixture-of-Experts Transformer
Discovered via OpenAlex
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On fine-tuning Boltz-2 for protein-protein affinity prediction
Discovered via OpenAlex
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DPO: Precision Control for Aligned Generative Models
Discovered via OpenAlex
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Energetic Constraints in the Enzymatic Depolymerization of Crystalline PET
Discovered via OpenAlex
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Enzyme Engineering Database (EnzEngDB): a platform for sharing and interpreting sequence–function relationships across protein engineering campaigns
Discovered via OpenAlex
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Design of a Labile RNase A Using Protein Language Models
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 7. Other tasks · 7.1 Effects of mutation & Fitness Landscape
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Designing novel solenoid proteins with in silico evolution
Curated by Papers for Protein Design Using Deep Learning · 2. Model-based design · 2.1.1 trRosetta-based
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Transfer learning with pre-trained language models for protein expression level prediction in Escherichia coli
Discovered via OpenAlex
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Bioinformatics classification of the MgtE Mg2 + channel and de novo protein design for the stabilization of its novel subclass
Discovered via OpenAlex
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Structural exploration of Staphylococcus epidermidis virulence proteins for multi-epitope vaccine peptide design
Discovered via OpenAlex
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Computational design of metallohydrolases
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Atom-level enzyme active site scaffolding using RFdiffusion2
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
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Computational enzyme design by catalytic motif scaffolding
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
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BAGEL: Protein engineering via exploration of an energy landscape
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 2. Model-based design · 2.4 LLM-based
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Machine learning enables de novo multiepitope design of Plasmodium falciparum circumsporozoite protein to target trimeric L9 antibody
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
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A Systematic Survey on Generative Models for Graph Generation
Discovered via OpenAlex
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AI-Guided Dual Strategy for Peptide Inhibitor Design Targeting Structural Polymorphs of α-Synuclein Fibrils
Discovered via OpenAlex
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Few-shot Protein Fitness Prediction via In-context Learning and Test-time Training
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Decoding protein binding plasticity via integrated deep ribosome display and deep learning
Discovered via OpenAlex
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Modeling the structure-conditioned sequence landscape for large-scale protein design with TriFlow
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.7 Flow-based · 5.Function to Sequence
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Branched tetrameric lactoferricin peptides modified with diaminopropionic acid exhibit potent antimicrobial and wound-healing activities
Discovered via OpenAlex
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Structure-based peptide design identifies inhibitors of the dyskerin/dyskerin interaction in H/ACA ribonucleoproteins targeting brain tumour cell lines
Discovered via OpenAlex
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Designing protein–material interfaces
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Neuroprotective Effects of PEP ‐1‐ PGAM5 via the Attenuation of Oxidative Stress and Apoptosis in Parkinson's Disease
Discovered via OpenAlex
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Pharmacological considerations for next-generation protein therapeutics in cardiovascular disease
Discovered via OpenAlex
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All-atom protein sequence design using discrete diffusion models
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 4.9 Diffusion-based · 4.Scaffold to Sequence
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Ancestral sequence reconstruction and rational protein design enhances lysozyme activity of helveticin NX371 against Bacillus cereus
Discovered via OpenAlex
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Consistent Synthetic Sequences Unlock Structural Diversity in Fully Atomistic De Novo Protein Design
Discovered via OpenAlex
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Integration of Generative Protein Design with Synthetic Porphyrin Assembly: Metal‐Responsive Cyclic Assembly of a Bi‐Porphyrin Acquisition Designer Protein (Small 49/2025)
Discovered via OpenAlex
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Development of a Novel Anti-Siglec-15 Antibody for Tumor Immunotherapy
Discovered via OpenAlex
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Drug-like antibody design against challenging targets with atomic precision
Discovered via OpenAlex
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Template-free antibody design
Discovered via OpenAlex
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Development of a Novel Anti-Siglec-15 Antibody for Tumor Immunotherapy
Discovered via OpenAlex
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MPSol: A Multimodal Prompt Learning Framework for Protein Solubility Prediction
Discovered via OpenAlex
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A scalable equivariant graph network framework for precise protein function prediction
Discovered via OpenAlex
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EnzyCLIP: A Cross-Attention Dual Encoder Framework with Contrastive Learning for Predicting Enzyme Kinetic Constants
Discovered via OpenAlex
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RadDiff: Retrieval-Augmented Denoising Diffusion for Protein Inverse Folding
Discovered via OpenAlex
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Freeze, Diffuse, Decode: Task-Aware Adaptation of Transformer Embeddings for Antimicrobial Peptide Design
Discovered via OpenAlex
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Advances and critical evaluation of autonomous protein engineering: towards transparent, accessible, and reproducible platforms
Discovered via OpenAlex
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FoldSAE: Learning to Steer Protein Folding Through Sparse Representations
Discovered via OpenAlex
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Swarms of Large Language Model Agents for Protein Sequence Design with Experimental Validation
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.4 Transformer-based · 5.Function to Sequence
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Ab-initio amino acid sequence design from protein text description with ProtDAT
Discovered via OpenAlex
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Rapid and Accurate Protein Structure Database Search Using Inverse Folding Model and Contrastive Learning
Discovered via OpenAlex
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A Critical Commentary on "Atomically accurate de novo design of antibodies with RFdiffusion" by Bennett et al., Nature 2025; doi: 10.1038/s41586-025-09721-5
Discovered via OpenAlex
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Inhibition of ice recrystallization with designed twistless helical repeat proteins
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.3 RoseTTAFold-based
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Computationally Informed Redesign of Levansucrase from Erwinia tasmaniensis to Enhance Its Thermostability for Levan Biosynthesis
Discovered via OpenAlex
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Structure-Based Design and In Silico Evaluation of a Lipophilic Cyclooctanoyl- Derivative as a Renin Inhibitor: Lessons from Withdrawn Aliskiren
Discovered via OpenAlex
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Intravaginal delivery of mRNA-encoded antibodies with enhanced breadth and potency for SHIV/HIV protection
Discovered via OpenAlex
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Sustainable Peptide synthesis and design: Integrating green synthesis and computational tools
Discovered via OpenAlex
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De Novo Design of Peptide Masks Enables Rapid Generation of Conditionally-Active Miniprotein Binders
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BoltzGen: Toward Universal Binder Design
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Beyond Protein Language Models: An Agentic LLM Framework for Mechanistic Enzyme Design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.4 Transformer-based · 5.Function to Sequence
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General-Purpose Large Language Models, such as DeepSeek V3.2, Have Evolved Protein Design Capabilities
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 5.4 Transformer-based · 5.Function to Sequence
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DLF-BBP: A novel deep learning framework for blood-brain barrier penetrating peptides design
Discovered via OpenAlex
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CCK* (Convex Closure K*): A Suite of Algorithms for De Novo L- and D-peptide Design
Discovered via OpenAlex
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Precision at Every Scale: Efficiency in AI-Driven De Novo Antibody Design
Discovered via OpenAlex
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Engineering complexity into protein-based biomaterials for biomedical applications
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Automated and modular protein binder design with BinderFlow
Discovered via OpenAlex
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Deep Learning-Based Prediction of Enzyme Optimal pH and Design of Point Mutations to Improve Acid Resistance
Discovered via OpenAlex
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ESTEEM Strategy: Revolutionizing Enzymatic Catalysis through the Evolutionary Gateway of Enzyme Tunnels
Discovered via OpenAlex
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Synthetic α-glucosidase inhibitory peptides designed by molecular docking: In vitro screening and anti-hyperglycemic efficacy in diabetic mice
Discovered via OpenAlex
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Targeting peptide–MHC complexes with designed T cell receptors and antibodies
Curated by Papers for Protein Design Using Deep Learning · 4.5 GNN-based · 4.Scaffold to Sequence
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Protein Engineering and Drug Discovery: Importance, Methodologies, Challenges, and Prospects
Discovered via OpenAlex
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Water Networks as Hydrophobic Recognition Motifs in Proteins
Discovered via OpenAlex
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Conservative Motion Theory – Bio II Rational Enzyme Design via Conservative Flow Engineering
Discovered via OpenAlex
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Conservative Motion Theory – Bio IV Conservative Folding Flows and the Design of Functional Proteins
Discovered via OpenAlex
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Navigating Structure, Function, and Stability: Bridging Immunotherapy and Protein Engineering in the Era of Machine Learning
Discovered via OpenAlex
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Target-aware latent diffusion model for design of apoptosis-inducing anticancer peptides
Discovered via OpenAlex
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Enhancing functional proteins through multimodal inverse folding with ABACUS-T
Discovered via OpenAlex
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The Biological Anchor: A Roadmap to Room-Temperature Quantum Communication by Co-opting Photosynthetic Coherence and De Novo Protein Design
Discovered via OpenAlex
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Boosting Reversible Photocontrol of a Photoxenase by an Engineered Conformational Shift
Discovered via OpenAlex
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Designing novel peptides with amyloid-β binding and clearance potential using BiLSTM and molecular dynamics
Discovered via OpenAlex
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Development of an Efficient Bifunctional Endoxylanase/Feruloyl Esterase Chimera for Coproduction of Ferulic Acid, p -Coumaric Acid, and Xylooligosaccharides
Discovered via OpenAlex
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MPIDNN-GPPI: multi-protein language model with an improved deep neural network for generalized protein‒protein interaction prediction
Discovered via OpenAlex
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Co-folding of Carbohydrate-Protein Complexes
Discovered via OpenAlex
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Kinesin-1 conformational dynamics are controlled by a cargo-sensitive TPR switch
Discovered via OpenAlex
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Multiplexed ultrasound imaging of gene expression
Discovered via OpenAlex
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Full-Atom Peptide Design via Riemannian-Euclidean Bayesian Flow Networks
Discovered via OpenAlex
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ApexGen: Simultaneous design of peptide binder sequence and structure for target proteins
Discovered via OpenAlex
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Accelerated de novo design of xanthine oxidase-inhibitory peptides via physics-informed computational approaches
Discovered via OpenAlex
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RFDiffusion: Revolutionizing Protein Design with Generative AI
Discovered via OpenAlex
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Novel Near-Infrared Fluorescent Protein for Biliverdin Biosensing with a Hydrogel Scaffold
Discovered via OpenAlex
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Machine learning-guided optimization of triple agonist peptide therapeutics for metabolic disease
Discovered via OpenAlex
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Sequence-aware Prediction of Point Mutation-induced Effects on Protein-Protein Binding Affinity using Deep Learning
Discovered via OpenAlex
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Development of New Anti-Wrinkle Peptide Using Cheminformatics-Assisted Peptidomimetic Design
Discovered via OpenAlex
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Advances in trypsin research: sources, structural insights, applications and protein engineering for industrial use
Discovered via OpenAlex
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Multimodal diffusion for joint design of protein sequence and structure
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.2 Diffusion-based
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Building Thermosensitive Single-Component Protein Hydrogels from De Novo Designed Homodimers
Discovered via OpenAlex
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Structural Basis for Targeting the Bifunctional Enzyme ArnA
Discovered via OpenAlex
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Selectivity Approaches in Therapeutic Antibody Design
Discovered via OpenAlex
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OneProt: Towards multi-modal protein foundation models via latent space alignment of sequence, structure, binding sites and text encoders
Discovered via OpenAlex
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Optimizing Open Source Tools for Protein Design, Characterization, and Docking in Alzheimer's Disease Drug Development
Discovered via OpenAlex
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Controllable protein design with particle-based Feynman-Kac steering
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 2. Model-based design · 2.5 Sampling-algorithms · 3. Function to Scaffold · 3.4 Diffusion-based
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Topological deep learning for enhancing peptide-protein complex prediction
Discovered via OpenAlex
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A Comprehensive Review of Transformer-Based Language Models for Protein Sequence Analysis and Design
Discovered via OpenAlex
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Global Analysis of Aggregation Determinants in Small Protein Domains
Discovered via OpenAlex
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De Novo Design of High-Affinity HER2-Targeting Protein Minibinders
Discovered via OpenAlex
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The Anisotropic Adsorption of De Novo Allosteric Two‐Component Protein Fibers on Mica Surfaces
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AstraBIND: Graph Attention Network for Predicting Ligand Binding Sites
Discovered via OpenAlex
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De-Novo Protein Design Strategies for Targeting Rotavirus Proteins: Evolutionary Conservation and Therapeutic Implications
Discovered via OpenAlex
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Improving Stereochemical Limitations in Protein–Ligand Complex Structure Prediction
Discovered via OpenAlex
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HalluDesign: Protein Optimization and de novo Design via Iterative Structure Hallucination and Sequence Design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 2. Model-based design · 2.1.1 trRosetta-based
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Joint Design of Protein Surface and Structure Using a Diffusion Bridge Model
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.2 Diffusion-based
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Pro4S: prediction of protein solubility by fusing sequence, structure, and surface
Discovered via OpenAlex
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Engineering HER2-targeted biparatopic antibodies to promote receptor internalization and restore antitumor efficacy
Discovered via OpenAlex
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PPAC: Predicting Protein–Protein Affinity Changes Induced by Amino Acid Mutations Using Protein Large Language Models
Discovered via OpenAlex
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RETRACTED: The Use of DeepQSAR Models for the Discovery of Peptides with Enhanced Antimicrobial and Antibiofilm Potential
Discovered via OpenAlex
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Engineering the Activity and Stability of dCMP Deaminase To Achieve Efficient and Simple Production of Uridine Monophosphate
Discovered via OpenAlex
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Atomically accurate de novo design of antibodies with RFdiffusion
Curated by Papers for Protein Design Using Deep Learning · 5.12 Diffusion-based · 5.Function to Sequence
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Modular protein scaffold architecture and AI-guided sequence optimization facilitate de novo metalloenzyme engineering
Discovered via OpenAlex
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PepComLibGen: A Web Server for Generating Peptide Libraries for Computer-Aided De Novo Peptide Design and Combinatorial Lead Optimization
Discovered via OpenAlex
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FP-AbDiff: Improving Score-based Antibody Design by Capturing Nonequilibrium Dynamics through the Underlying Fokker-Planck Equation
Discovered via OpenAlex
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Computational Design of a De Novo Binder for Claudin-6 (CLDN6)
Discovered via OpenAlex
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Modeling protein–small molecule conformational ensembles with PLACER
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Spontaneous Emergence of Symmetry in a Generative Model of Protein Structure
Discovered via OpenAlex
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AI-Guided Optimization of an Antimicrobial Peptide targeting Bacillus cereus: Enhancing Activity and Reducing Toxicity Through Machine Learning Tools
Discovered via OpenAlex
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Artificial intelligence–powered biofoundries for protein engineering and metabolic engineering
Discovered via OpenAlex
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De novo design and evolution of an artificial metathase for cytoplasmic olefin metathesis
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From sequence to scaffold: Computational design of protein nanoparticle vaccines from AlphaFold2-predicted building blocks
Curated by Papers for Protein Design Using Deep Learning · 4.5 GNN-based · 4.Scaffold to Sequence
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Designing Peptide Fossils That Model the Evolution of the Bacterial Ferredoxin Fold
Discovered via OpenAlex
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DL4Proteins Jupyter Notebooks Teach how to use Artificial Intelligence for Biomolecular Structure Prediction and Design
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 1. Reviews · 1.1 De novo protein design
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Glycosylated cannabinoids meet computational enzyme design
Discovered via OpenAlex
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Engineered Protein‐Based Ionic Conductors for Sustainable Energy Storage Applications
Discovered via OpenAlex
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An IL-21-derived neokine with enhanced anti-tumor efficacy 2594
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AI-based HIV-1 Env designs devoid of gp41 mimic native gp120 pre-fusion Env 9395
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TCRdesign: an antigen-specific generative language model for de novo design of T-cell receptors
Discovered via OpenAlex
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SAGE-prot: scoring-assisted generative exploration for multi-objective protein design
Discovered via OpenAlex
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De Novo Protein Structure Prediction by Model Quality Assessment Dynamic Feedback Mechanism Using Deep Learning
Discovered via OpenAlex
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MOFormer: navigating the antimicrobial peptide design space with Pareto-based multi-objective transformer
Discovered via OpenAlex
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Reinforcement learning with low-rank adaptation for targeted antimicrobial peptide design
Discovered via OpenAlex
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A Novel Biphasic Antibody Targeting TFRC and HER2 in Breast Cancer Treatment 9417
Discovered via OpenAlex
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PPEPFinder : A deep learning framework integrating sequence embeddings and structural graph representations for predicting fungal and oomycete effector proteins
Discovered via OpenAlex
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Advances in luminescence-based tracing technologies: applications and future perspectives
Discovered via OpenAlex
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Large language model agents as experimental orchestrators in data-driven enzyme engineering
Discovered via OpenAlex
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Refining Peptide Design for Surface Binding
Discovered via OpenAlex
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A Genetic Algorithm to scour protein sequence space: A novel framework for protein engineering using protein language models and force fields
Discovered via OpenAlex
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Protein Design Meets Single-Molecule Detection: Towards Programmable Nanopore Sensors
Discovered via OpenAlex
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Predicting Metalloprotein Redox Potentials with Machine Learning: A Focus on Iron–Sulfur Systems
Discovered via OpenAlex
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In Silico Peptide Design: Methods, Resources, and Role of AI
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 1. Reviews · 1.2 Antibody design
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AbEgDiffuser: Antibody Sequence-Structure Codesign with Equivariant Graph Neural Networks and Diffusion Models
Discovered via OpenAlex
Curated by Papers for Protein Design Using Deep Learning · 6. Function to Structure · 6.2 Diffusion-based
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Ancient amino acid sets enable stable protein folds
Discovered via OpenAlex
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Improved De Novo Peptide Binder Design with Target-Conditioned Inverse Folding
Discovered via OpenAlex
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