How To Correct Erroneous Symmetry-Breaking in Coarse-Grained Constant-pH Simulations.

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Chemical Theory and Computation Pub Date : 2025-02-11 Epub Date: 2025-01-29 DOI:10.1021/acs.jctc.4c01010
David Beyer, Pablo M Blanco, Jonas Landsgesell, Peter Košovan, Christian Holm
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Abstract

The constant-pH Monte Carlo method is a popular algorithm to study acid-base equilibria in coarse-grained simulations of charge regulating soft matter systems including weak polyelectrolytes and proteins. However, the method suffers from systematic errors in simulations with explicit ions, which lead to a symmetry-breaking between chemically equivalent implementations of the acid-base equilibrium. Here, we show that this artifact of the algorithm can be corrected a-posteriori by simply shifting the pH-scale. We present two analytical methods as well as a numerical method using Widom insertion to obtain the correction. By numerically investigating various sample systems, we assess the range of validity of the analytical approaches and show that the Widom approach always leads to consistent results, even when the analytical approaches fail. Overall, we provide practical guidelines on how to use constant-pH simulations to avoid systematic errors, including cases where special care is required, such as polyampholytes and proteins.

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如何纠正粗粒度恒ph模拟中的对称性破坏错误。
恒定ph蒙特卡罗方法是研究电荷调节软物质系统(包括弱聚电解质和蛋白质)的酸碱平衡的一种常用算法。然而,该方法在显式离子的模拟中存在系统误差,导致酸碱平衡的化学等效实现之间的对称性破坏。在这里,我们展示了该算法的伪影可以通过简单地移动ph刻度进行后验校正。我们提出了两种解析方法和一种采用智能插入的数值方法来获得校正。通过对各种样本系统进行数值调查,我们评估了分析方法的有效性范围,并表明即使分析方法失败,智能方法也总是导致一致的结果。总的来说,我们提供了关于如何使用恒定ph模拟来避免系统错误的实用指南,包括需要特别注意的情况,如多两性电解质和蛋白质。
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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Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere.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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