TY - JOUR
T1 - Systematic Comparison of the Structural and Dynamic Properties of Commonly Used Water Models for Molecular Dynamics Simulations
AU - Kadaoluwa Pathirannahalage, Sachini P.
AU - Meftahi, Nastaran
AU - Elbourne, Aaron
AU - Weiss, Alessia C.G.
AU - McConville, Chris F.
AU - Padua, Agilio
AU - Winkler, David A.
AU - Costa Gomes, Margarida
AU - Greaves, Tamar L.
AU - Le, Tu C.
AU - Besford, Quinn A.
AU - Christofferson, Andrew J.
N1 - Funding Information:
This research was undertaken with the assistance of supercomputing resources from the National Computational Infrastructure (NCI), which is supported by the Australian Government, under the National Computational Merit Allocation Scheme (project kl59). This research was funded in part by the Alexander von Humboldt Foundation (Q.A.B.). The authors gratefully acknowledge Prof. Peter Daivis for helpful discussions and the anonymous reviewers for constructive comments.
Publisher Copyright:
© 2021 American Chemical Society.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/8/18
Y1 - 2021/8/18
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85114112336
U2 - 10.1021/acs.jcim.1c00794
DO - 10.1021/acs.jcim.1c00794
M3 - Article
AN - SCOPUS:85114112336
SN - 1549-9596
VL - 61
SP - 4521
EP - 4536
JO - Journal of Chemical Information and Modeling
JF - Journal of Chemical Information and Modeling
IS - 9
ER -