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Nanopore sequencing with proteins: synchronization and dischronization of molecular dynamics simulations with laboratory and industrial developments

Zongan Wang, Yuqian Liu, Tao Zeng, Denghui Li, Xiao Shi, Jiawen Zhang, Hao Wang, Liuxin Shi, Jiayuan Zhang, Yinqi Bai, Yuning Zhang, Yuliang Dong

Discovered via OpenAlex

Abstract

Protein nanopores have revolutionized DNA sequencing by enabling long-read, real-time, and portable genomic analysis. This review traces the experimental evolution of three key protein nanopores—α-hemolysin, MspA, and CsgG—highlighting how iterative engineering overcame challenges such as translocation control and homopolymer resolution. Concurrently, molecular dynamics (MD) simulations have elucidated DNA–pore interactions, ion current modulation, free-energy landscapes, and so forth, providing mechanistic insights and guiding rational design. However, MD studies consistently lag behind experimental and industrial advances, resulting in a reactive “simulate-after-validate” paradigm. We identify critical gaps in simulating motor–pore complexes, experimental timescales, and emerging designs like dual-constriction pores. To bridge these, we propose leveraging deep learning-based structure prediction, de novo protein design, and advanced multiscale simulations to foster proactive, integrated development of next-generation nanopore technologies.

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