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A network of conformational transitions in an unfolding process of HP-35 revealed by high-temperature MD simulation and a Markov state model

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成果类型:
期刊论文
作者:
Shao, Dandan;Gao, Kaifu*
通讯作者:
Gao, Kaifu
作者机构:
[Gao, Kaifu] Cent China Normal Univ, Inst Biophys, Wuhan 430079, Hubei, Peoples R China.
Cent China Normal Univ, Dept Phys, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Gao, Kaifu] C
Cent China Normal Univ, Inst Biophys, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
molecular dynamics simulation;Markov state model;folding/unfolding;HP-35
期刊:
中国物理B
ISSN:
1674-1056
年:
2018
卷:
27
期:
1
页码:
018701-1-018701-7
基金类别:
∗Project supported by the National Natural Science Foundation of China (Grant Nos. 11175068 and 11474117) and the Self-determined Research Funds of CCNU from the Colleges Basic Research and Operation of MOE, China (Grant No. 230-20205170054). †Corresponding author. E-mail: gaokaifu@mail.ccnu.edu.cn
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
心理学院
摘要:
An understanding of protein folding/unfolding processes has important implications for all biological processes, including protein degradation, protein translocation, aging, and diseases. All-atom molecular dynamics (MD) simulations are uniquely suitable for it because of their atomic level resolution and accuracy. However, limited by computational capabilities, nowadays even for small and fast-folding proteins, all-atom MD simulations of protein folding still presents a great challenge. An alternative way is to study unfolding process using MD...

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