Systematic Comparison of the Structural and Dynamic Properties of Commonly Used Water Models for Molecular Dynamics Simulations

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Sachini P. Kadaoluwa Pathirannahalage, Nastaran Meftahi, Aaron Elbourne, Alessia C. G. Weiss, Chris F. McConville, Agilio Padua, David A. Winkler, Margarida Costa Gomes, Tamar L. Greaves, Tu C. Le*, Quinn A. Besford*, Andrew J. Christofferson*
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引用次数: 68

Abstract

Water is a unique solvent that is ubiquitous in biology and present in a variety of solutions, mixtures, and materials settings. It therefore forms the basis for all molecular dynamics simulations of biological phenomena, as well as for many chemical, industrial, and materials investigations. Over the years, many water models have been developed, and it remains a challenge to find a single water model that accurately reproduces all experimental properties of water simultaneously. Here, we report a comprehensive comparison of structural and dynamic properties of 30 commonly used 3-point, 4-point, 5-point, and polarizable water models simulated using consistent settings and analysis methods. For the properties of density, coordination number, surface tension, dielectric constant, self-diffusion coefficient, and solvation free energy of methane, models published within the past two decades consistently show better agreement with experimental values compared to models published earlier, albeit with some notable exceptions. However, no single model reproduced all experimental values exactly, highlighting the need to carefully choose a water model for a particular study, depending on the phenomena of interest. Finally, machine learning algorithms quantified the relationship between the water model force field parameters and the resulting bulk properties, providing insight into the parameter–property relationship and illustrating the challenges of developing a water model that can accurately reproduce all properties of water simultaneously.

Abstract Image

用于分子动力学模拟的常用水模型的结构和动力学性质的系统比较
水是一种独特的溶剂,在生物学中无处不在,存在于各种溶液、混合物和材料设置中。因此,它是所有生物现象的分子动力学模拟的基础,也是许多化学、工业和材料研究的基础。多年来,人们开发了许多水模型,但找到一个能同时准确再现水的所有实验特性的单一水模型仍然是一个挑战。在这里,我们报告了30个常用的3点、4点、5点和极化水模型的结构和动态特性的全面比较,这些模型使用一致的设置和分析方法进行模拟。对于甲烷的密度、配位数、表面张力、介电常数、自扩散系数和溶剂化自由能的性质,与早期发表的模型相比,过去二十年发表的模型始终显示出与实验值更好的一致性,尽管有一些明显的例外。然而,没有一个单一的模型能准确地再现所有的实验值,这突出了需要根据感兴趣的现象仔细选择特定研究的水模型。最后,机器学习算法量化了水模型力场参数与所得体属性之间的关系,提供了对参数-属性关系的深入了解,并说明了开发能够同时准确再现水的所有属性的水模型的挑战。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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