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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