重采样
计算机科学
动力学(音乐)
分子动力学
数据科学
人工智能
化学
物理
计算化学
声学
作者
Joshua H. Fass,Forrest York,Matthew Wittmann,Joseph W. Kaus,Yutong Zhao
标识
DOI:10.1021/acs.jctc.3c00539
摘要
We describe a method that focuses sampling effort on a user-defined selection of a large system, which can lead to substantial decreases in computational effort by speeding up the calculation of nonbonded interactions. A naive approach can lead to incorrect sampling if the selection depends on the configuration in a way that is not accounted for. We avoid this pitfall by introducing appropriate auxiliary variables. This results in an implementation that is closely related to "configurational freezing" and "elastic barrier dynamical freezing." We implement the method and validate that it can be used to supplement conventional molecular dynamics in free energy calculations (absolute hydration and relative binding).
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