Faster Sampling in Molecular Dynamics Simulations with TIP3P-F Water.

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Chemical Theory and Computation Pub Date : 2024-12-24 Epub Date: 2024-12-12 DOI:10.1021/acs.jctc.4c00990
José Guadalupe Rosas Jiménez, Balázs Fábián, Gerhard Hummer
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Abstract

The need for short time steps currently limits routine atomistic molecular dynamics (MD) simulations to the microsecond time scale. For long time steps, the numerical integration of the equations of motion becomes unstable, resulting in catastrophic crashes. Here, we combine mass repartitioning and rescaling to construct a water model that increases the sampling efficiency in biomolecular simulations without compromising integration stability and with preserved structural and thermodynamic properties. The resulting "fast water" is then used with a time step as before in combination with standard force fields. The reduced water viscosity and faster diffusion result in proportionally faster sampling of the larger-scale motions in the conformation space of both solute and solvent. We illustrate this approach by developing TIP3P-F based on the popular TIP3P model of water. A roughly 2-fold boost in the sampling efficiency at minimal cost in accuracy is substantial and helps lower the energy impact of large-scale MD simulations. The approach is general and can readily be applied to other water models and different types of solvents.

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目前,对短时间步长的需求将常规原子分子动力学(MD)模拟限制在微秒级。对于较长的时间步长,运动方程的数值积分变得不稳定,从而导致灾难性的崩溃。在这里,我们将质量重新分配和重新缩放相结合,构建了一种水模型,在不影响积分稳定性的情况下提高了生物分子模拟的采样效率,并保留了结构和热力学特性。由此产生的 "快速水 "与标准力场结合使用,时间步长与之前相同。由于水的粘度降低,扩散速度加快,因此对溶质和溶剂构象空间中大尺度运动的采样速度也相应加快。我们基于流行的 TIP3P 水模型开发了 TIP3P-F,以此说明这种方法。以最小的精度代价提高约 2 倍的采样效率是非常可观的,有助于降低大规模 MD 模拟的能量影响。该方法具有通用性,可随时应用于其他水模型和不同类型的溶剂。
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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Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere.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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