How to strike a conformational balance in protein force fields for molecular dynamics simulations?

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Wei Kang, Fan Jiang, Yun-Dong Wu
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引用次数: 4

Abstract

Molecular dynamics (MD) simulation is a powerful tool for exploring the conformational energy landscape of proteins, and the reliability of MD results is crucially dependent on the underlying force field (FF). An accurate FF capable of producing balanced distributions of diverse conformations at multiple levels has been a long-sought goal. Towards this, several decades of joint efforts have been made to address FF deficiencies, manifested by conformational biases at different levels (local conformations, secondary structures, and global extendedness of polypeptide chain). We first present the major FF biases, then review the strategies to address them separately. Specifically, both nonresidue-specific and residue-specific strategies for torsional parameter optimization have been applied to achieve local conformation and secondary structure balances. Significant improvements can be gained with residue-specific torsional parameters especially when explicit dihedral couplings are considered. Further, the additional balance between protein–protein and protein–water interactions has been optimized via multiple ways to reproduce the global extendedness of polypeptide chains, especially for unfolded or disordered proteins. This review aims to summarize the most valuable experience and lessons gained from the past, which, we hope, can facilitate further improvements of both classical FFs and more sophisticated models such as polarizable FFs.

This article is categorized under:

如何在分子动力学模拟中达到蛋白质力场的构象平衡?
分子动力学(MD)模拟是探索蛋白质构象能格局的有力工具,而MD结果的可靠性关键取决于底层力场(FF)。一个精确的FF能够在多个水平上产生不同构象的平衡分布一直是一个长期追求的目标。为此,几十年来人们一直在共同努力解决FF的缺陷,这些缺陷表现为不同层次的构象偏差(局部构象、二级结构和多肽链的全局延伸)。我们首先提出了主要的FF偏差,然后分别回顾了解决它们的策略。具体来说,非残基和残基两种扭转参数优化策略都被用于实现局部构象和二级结构平衡。在考虑显式二面体耦合的情况下,利用残差扭转参数可以获得显著的改进。此外,蛋白质-蛋白质和蛋白质-水相互作用之间的额外平衡已经通过多种方式得到优化,以重现多肽链的全局延伸性,特别是对于未折叠或无序的蛋白质。本综述旨在总结过去最宝贵的经验和教训,我们希望这些经验和教训可以促进经典FFs和更复杂的模型(如极化FFs)的进一步改进。本文分类如下:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Wiley Interdisciplinary Reviews: Computational Molecular Science
Wiley Interdisciplinary Reviews: Computational Molecular Science CHEMISTRY, MULTIDISCIPLINARY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
28.90
自引率
1.80%
发文量
52
审稿时长
6-12 weeks
期刊介绍: Computational molecular sciences harness the power of rigorous chemical and physical theories, employing computer-based modeling, specialized hardware, software development, algorithm design, and database management to explore and illuminate every facet of molecular sciences. These interdisciplinary approaches form a bridge between chemistry, biology, and materials sciences, establishing connections with adjacent application-driven fields in both chemistry and biology. WIREs Computational Molecular Science stands as a platform to comprehensively review and spotlight research from these dynamic and interconnected fields.
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