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

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Chemical Theory and Computation Pub Date : 2024-08-13 Epub Date: 2024-07-31 DOI:10.1021/acs.jctc.4c00501
Timothy Hasse, Yu-Ming M Huang
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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.

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用于增强生物分子系统采样和自由能计算的多参数复制交换高斯加速分子动力学。
本研究以高斯加速分子动力学(GaMD)算法为基础,介绍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。GaMD 通过添加谐波提升势能来平滑势能面,无需预定义反应坐标,从而增强了生物分子系统的采样和自由能信息检索。我们的创新方法采用了复制交换算法,可以交换多个参数,包括力常数和能量阈值以及温度等 GaMD 提升参数,从而提高了 GaMD 的加速能力和能量复权精度。我们将 MP-Rex-GaMD 应用于丙氨酸、木犀草素和 HIV 蛋白酶这三个模型系统,证明了它在探索蛋白质构象和有效导航各种生物分子状态跨越能量障碍方面的能力优于传统的分子动力学和 GaMD 模拟。MP-Rex-GaMD 允许用户通过能量再加权精确绘制自由能图谱,在实际计算时间尺度内捕捉从低能构象到罕见高能转变的生物分子状态集合。
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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Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere.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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