内在无序蛋白质
蒙特卡罗方法
力场(虚构)
分子动力学
水模型
功能(生物学)
可转让性
灵活性(工程)
加权
计算机科学
统计物理学
物理
化学
计算化学
生物
数学
人工智能
机器学习
核磁共振
统计
罗伊特
进化生物学
声学
作者
Zhengsong Pan,Junxi Mu,Haifeng Chen
标识
DOI:10.1021/acs.jctc.3c00297
摘要
Intrinsically disordered proteins (IDPs) play a critical role in many biological processes. Due to the inherent structural flexibility of IDPs, experimental methods present significant challenges for sampling their conformational information at the atomic level. Therefore, molecular dynamics (MD) simulations have emerged as the primary tools for modeling IDPs whose accuracy depend on force field and water model. To enhance the accuracy of physical modeling of IDPs, several force fields have been developed. However, current water models lack precision and underestimate the interaction between water molecules and proteins. Here, we used Monte-Carlo re-weighting method to re-parameterize a three-point water model based on OPC3 for IDPs (named OPC3-B). We benchmarked the performance of OPC3-B compared with nine different water models for 10 IDPs and three ordered proteins. The results indicate that the performance of OPC3-B is better than other water models for both IDPs and ordered proteins. At the same time, OPC3-B possess the power of transferability with other force field to simulate IDPs. This newly developed water model can be used to insight into the research of sequence-disordered-function paradigm for IDPs.
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