增强构象空间采样的溶质回火绝热自由能动力学。

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL
Shitanshu Bajpai, Charlles R A Abreu, Nisanth N Nair, Mark E Tuckerman
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引用次数: 0

摘要

在分子动力学模拟中,基于集体变量(CV)和广义系综的增强采样方法被广泛应用于加速过障事件和增强构象采样。温度加速分子动力学(TAMD)/驱动绝热自由能动力学(d-AFED)利用高温下的扩展变量来更好地探索构象空间。基于溶质回火的副本交换(REST2)通过缩放不同副本的溶质-溶质和溶质-溶剂相互作用能并在它们之间交换构象来改进采样。研究表明,由于存在大熵盆地,需要结合基于cv的增强采样和全局回火来提高大型生物分子系统的构象采样。在这项工作中,我们提出了一种结合d-AFED/TAMD和REST2的方法,称为“溶质回火d-AFED”或“STed-AFED”。我们在OpenMM-UFEDMM界面中实现了这种方法,并通过研究小肽和蛋白质的构象景观,特别是毛木苷、Trp-cage和绒毛蛋白,证明了这种方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solute Tempered Adiabatic Free Energy Dynamics for Enhancing Conformational Space Sampling.

Collective variable (CV) and generalized ensemble-based enhanced sampling methods are widely used for accelerating barrier-crossing events and enhancing conformational sampling in molecular dynamics simulations. Temperature-accelerated molecular dynamics (TAMD)/driven-adiabatic free energy dynamics (d-AFED) uses extended variables thermostated at high temperature to achieve better exploration of conformational space. Replica exchange with solute tempering (REST2) achieves improved sampling by scaling the solute-solute and solute-solvent interaction energies of different replicas and swapping conformations between them. It has been observed that a combination of CV-based enhanced sampling and global tempering is needed to boost the conformational sampling of large biomolecular systems due to the presence of large entropic basins. In this work, we propose a method called "Solute Tempered d-AFED" or "STed-AFED" that combines both d-AFED/TAMD and REST2. We implemented this approach in the OpenMM-UFEDMM interface and demonstrated the efficiency of this method by studying the conformational landscapes of small peptides and proteins, in particular, chignolin, Trp-cage, and villin.

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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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