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通过多状态迭代玻尔兹曼反演开发粗粒度水势场。

Development of a coarse-grained water forcefield via multistate iterative Boltzmann inversion.

作者信息

Moore Timothy C, Iacovella Christopher R, McCabe Clare

机构信息

Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN 37235.

Vanderbilt University Center for Multiscale Modeling and Simulation (MuMS), Nashville, TN 37235.

出版信息

Found Mol Model Simul (2015). 2016;2016:37-52. doi: 10.1007/978-981-10-1128-3_3. Epub 2016 Jun 2.

Abstract

A coarse-grained water model is developed using multistate iterative Boltzmann inversion. Following previous work, the -means algorithm is used to dynamically map multiple water molecules to a single coarse-grained bead, allowing the use of structure-based coarse-graining methods. The model is derived to match the bulk and interfacial properties of liquid water and improves upon previous work that used single state iterative Boltzmann inversion. The model accurately reproduces the density and structural correlations of water at 305 K and 1.0 atm, stability of a liquid droplet at 305 K, and shows little tendency to crystallize at physiological conditions. This work also illustrates several advantages of using multistate iterative Boltzmann inversion for deriving generally applicable coarse-grained forcefields.

摘要

使用多状态迭代玻尔兹曼反演开发了一种粗粒度水模型。按照先前的工作,采用k均值算法将多个水分子动态映射到单个粗粒度珠子上,从而可以使用基于结构的粗粒度方法。该模型经过推导以匹配液态水的体相和界面性质,并改进了先前使用单状态迭代玻尔兹曼反演的工作。该模型准确地再现了305 K和1.0 atm下水的密度和结构相关性、305 K下液滴的稳定性,并且在生理条件下几乎没有结晶倾向。这项工作还说明了使用多状态迭代玻尔兹曼反演来推导普遍适用的粗粒度力场的几个优点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb38/7262820/7d4a4b350121/nihms-1592656-f0001.jpg

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