同步(交流)
计算机科学
纳米孔
分子动力学
纳米技术
生物系统
序列(生物学)
动力学(音乐)
物理
理论(学习稳定性)
材料科学
作者
Zongan Wang,Y. Lucy Liu,Yuning Zhang,Tao Zeng,Denghui Li,Xiao Shi,Jiawen Zhang,Hao Wang,Liuxin Shi,Jiayuan Zhang,Yinqi Bai,Yuliang Dong
出处
期刊:
日期:2026-02-03
被引量:1
标识
DOI:10.26434/chemrxiv-2026-0lzw1/v2
摘要
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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