分子动力学中 Lipari-Szabo 阶参数的准确性和可重复性

IF 2.8 2区 化学 Q3 CHEMISTRY, PHYSICAL
Thanh T Lai, Charles L Brooks
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引用次数: 0

摘要

Lipari-Szabo 广义阶次参数可探测蛋白质的皮秒到纳秒时间尺度运动,有助于合理解释蛋白质识别和配体结合等多种生物过程。尽管这些快速运动是蛋白质的重要固有特性,但目前仍不清楚什么样的模拟条件最适合从分子动力学模拟中再现甲基对称轴侧链阶次参数数据(Saxis2)。本研究表明,虽然 Saxis2 往往会在几十纳秒内收敛,但必须从接近实验结构的构型开始运行 10 到 20 次副本,才能获得与实验 Saxis2 值的最佳一致性。此外,在力场比较中,AMBER ff14SB 在准确捕捉这些快速时间尺度运动方面优于 CHARMM36m,我们认为造成这种性能差距的原因可能是侧链扭转参数化的差异,而不是力场采样的全局蛋白质构象的差异。这项研究为从分子模拟中获得准确且可重复的 Saxis2 值提供了深入见解,并强调了使用复制模拟来计算平衡特性的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accuracy and Reproducibility of Lipari-Szabo Order Parameters From Molecular Dynamics.

The Lipari-Szabo generalized order parameter probes the picosecond to nanosecond time scale motions of a protein and is useful for rationalizing a multitude of biological processes such as protein recognition and ligand binding. Although these fast motions are an important and intrinsic property of proteins, it remains unclear what simulation conditions are most suitable to reproduce methyl symmetry axis side chain order parameter data (Saxis2) from molecular dynamics simulations. In this study, we show that, while Saxis2 tends to converge within tens of nanoseconds, it is essential to run 10 to 20 replicas starting from configurations close to the experimental structure to obtain the best agreement with experimental Saxis2 values. Additionally, in a comparison of force fields, AMBER ff14SB outperforms CHARMM36m in accurately capturing these fast time scale motions, and we suggest that the origin of this performance gap is likely attributed to differences in side chain torsional parametrization and not due to differences in the global protein conformations sampled by the force fields. This study provides insight into obtaining accurate and reproducible Saxis2 values from molecular simulations and underscores the necessity of using replica simulations to compute equilibrium properties.

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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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