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Scalable Constant pH Molecular Dynamics in GROMACS

[Image: see text] Molecular dynamics (MD) computer simulations are used routinely to compute atomistic trajectories of complex systems. Systems are simulated in various ensembles, depending on the experimental conditions one aims to mimic. While constant energy, temperature, volume, and pressure are...

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Autores principales: Aho, Noora, Buslaev, Pavel, Jansen, Anton, Bauer, Paul, Groenhof, Gerrit, Hess, Berk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558312/
https://www.ncbi.nlm.nih.gov/pubmed/36128977
http://dx.doi.org/10.1021/acs.jctc.2c00516
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author Aho, Noora
Buslaev, Pavel
Jansen, Anton
Bauer, Paul
Groenhof, Gerrit
Hess, Berk
author_facet Aho, Noora
Buslaev, Pavel
Jansen, Anton
Bauer, Paul
Groenhof, Gerrit
Hess, Berk
author_sort Aho, Noora
collection PubMed
description [Image: see text] Molecular dynamics (MD) computer simulations are used routinely to compute atomistic trajectories of complex systems. Systems are simulated in various ensembles, depending on the experimental conditions one aims to mimic. While constant energy, temperature, volume, and pressure are rather straightforward to model, pH, which is an equally important parameter in experiments, is more difficult to account for in simulations. Although a constant pH algorithm based on the λ-dynamics approach by Brooks and co-workers [Kong, X.; Brooks III, C. L. J. Chem. Phys.1996, 105, 2414–2423] was implemented in a fork of the GROMACS molecular dynamics program, uptake has been rather limited, presumably due to the poor scaling of that code with respect to the number of titratable sites. To overcome this limitation, we implemented an alternative scheme for interpolating the Hamiltonians of the protonation states that makes the constant pH molecular dynamics simulations almost as fast as a normal MD simulation with GROMACS. In addition, we implemented a simpler scheme, called multisite representation, for modeling side chains with multiple titratable sites, such as imidazole rings. This scheme, which is based on constraining the sum of the λ-coordinates, not only reduces the complexity associated with parametrizing the intramolecular interactions between the sites but also is easily extendable to other molecules with multiple titratable sites. With the combination of a more efficient interpolation scheme and multisite representation of titratable groups, we anticipate a rapid uptake of constant pH molecular dynamics simulations within the GROMACS user community.
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spelling pubmed-95583122022-10-14 Scalable Constant pH Molecular Dynamics in GROMACS Aho, Noora Buslaev, Pavel Jansen, Anton Bauer, Paul Groenhof, Gerrit Hess, Berk J Chem Theory Comput [Image: see text] Molecular dynamics (MD) computer simulations are used routinely to compute atomistic trajectories of complex systems. Systems are simulated in various ensembles, depending on the experimental conditions one aims to mimic. While constant energy, temperature, volume, and pressure are rather straightforward to model, pH, which is an equally important parameter in experiments, is more difficult to account for in simulations. Although a constant pH algorithm based on the λ-dynamics approach by Brooks and co-workers [Kong, X.; Brooks III, C. L. J. Chem. Phys.1996, 105, 2414–2423] was implemented in a fork of the GROMACS molecular dynamics program, uptake has been rather limited, presumably due to the poor scaling of that code with respect to the number of titratable sites. To overcome this limitation, we implemented an alternative scheme for interpolating the Hamiltonians of the protonation states that makes the constant pH molecular dynamics simulations almost as fast as a normal MD simulation with GROMACS. In addition, we implemented a simpler scheme, called multisite representation, for modeling side chains with multiple titratable sites, such as imidazole rings. This scheme, which is based on constraining the sum of the λ-coordinates, not only reduces the complexity associated with parametrizing the intramolecular interactions between the sites but also is easily extendable to other molecules with multiple titratable sites. With the combination of a more efficient interpolation scheme and multisite representation of titratable groups, we anticipate a rapid uptake of constant pH molecular dynamics simulations within the GROMACS user community. American Chemical Society 2022-09-21 2022-10-11 /pmc/articles/PMC9558312/ /pubmed/36128977 http://dx.doi.org/10.1021/acs.jctc.2c00516 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Aho, Noora
Buslaev, Pavel
Jansen, Anton
Bauer, Paul
Groenhof, Gerrit
Hess, Berk
Scalable Constant pH Molecular Dynamics in GROMACS
title Scalable Constant pH Molecular Dynamics in GROMACS
title_full Scalable Constant pH Molecular Dynamics in GROMACS
title_fullStr Scalable Constant pH Molecular Dynamics in GROMACS
title_full_unstemmed Scalable Constant pH Molecular Dynamics in GROMACS
title_short Scalable Constant pH Molecular Dynamics in GROMACS
title_sort scalable constant ph molecular dynamics in gromacs
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558312/
https://www.ncbi.nlm.nih.gov/pubmed/36128977
http://dx.doi.org/10.1021/acs.jctc.2c00516
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