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多参数副本交换高斯加速分子动力学用于增强生物分子体系的采样和自由能计算。

Multiple Parameter Replica Exchange Gaussian Accelerated Molecular Dynamics for Enhanced Sampling and Free Energy Calculation of Biomolecular Systems.

机构信息

Department of Physics and Astronomy, Wayne State University, Detroit, Michigan 48201, United States.

出版信息

J Chem Theory Comput. 2024 Aug 13;20(15):6485-6499. doi: 10.1021/acs.jctc.4c00501. Epub 2024 Jul 31.

Abstract

This study introduces a novel method named multiple parameter replica exchange Gaussian accelerated molecular dynamics (MP-Rex-GaMD), building on the Gaussian accelerated molecular dynamics (GaMD) algorithm. GaMD enhances sampling and retrieves free energy information for biomolecular systems by adding a harmonic boost potential to smooth the potential energy surface without the need for predefined reaction coordinates. Our innovative approach advances the acceleration power and energetic reweighting accuracy of GaMD by incorporating a replica exchange algorithm that enables the exchange of multiple parameters, including the GaMD boost parameters of force constant and energy threshold, as well as temperature. Applying MP-Rex-GaMD to the three model systems of dialanine, chignolin, and HIV protease, we demonstrate its superior capability over conventional molecular dynamics and GaMD simulations in exploring protein conformations and effectively navigating various biomolecular states across energy barriers. MP-Rex-GaMD allows users to accurately map free energy landscapes through energetic reweighting, capturing the ensemble of biomolecular states from low-energy conformations to rare high-energy transitions within practical computational time scales.

摘要

本研究提出了一种名为多参数复制交换高斯加速分子动力学(MP-Rex-GaMD)的新方法,该方法建立在高斯加速分子动力学(GaMD)算法的基础上。GaMD 通过添加调和提升势来增强对生物分子系统的采样并获取自由能信息,从而平滑势能面,而无需预定义反应坐标。我们的创新方法通过引入复制交换算法来提高 GaMD 的加速能力和能量重新加权精度,该算法允许交换多个参数,包括 GaMD 提升参数力常数和能量阈值以及温度。将 MP-Rex-GaMD 应用于二丙氨酸、chignolin 和 HIV 蛋白酶这三个模型系统,我们证明了它在探索蛋白质构象和有效地跨越能量障碍探索各种生物分子状态方面优于传统的分子动力学和 GaMD 模拟。MP-Rex-GaMD 通过能量重新加权允许用户准确地绘制自由能景观,从而在实际计算时间范围内从低能量构象捕获生物分子状态的整体情况到罕见的高能跃迁。

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