MkVsites: A tool for creating GROMACS virtual sites parameters to increase performance in all-atom molecular dynamics simulations.

GROMACS molecular dynamics sampling timestep

Journal

Journal of computational chemistry
ISSN: 1096-987X
Titre abrégé: J Comput Chem
Pays: United States
ID NLM: 9878362

Informations de publication

Date de publication:
15 06 2020
Historique:
received: 10 02 2020
revised: 11 03 2020
accepted: 14 03 2020
pubmed: 14 4 2020
medline: 14 4 2020
entrez: 14 4 2020
Statut: ppublish

Résumé

The absolute performance of any all-atom molecular dynamics simulation is typically limited by the length of the individual timesteps taken when integrating the equations of motion. In the GROMACS simulation software, it has for a long time been possible to use so-called virtual sites to increase the length of the timestep, resulting in a large gain of simulation efficiency. Up until now, support for this approach has in practice been limited to the standard 20 amino acids however, shrinking the applicability domain of virtual sites. MkVsites is a set of python tools which provides a convenient way to obtain all parameters necessary to use virtual sites for virtually any molecules in a simulation. Required as input to MkVsites is the molecular topology of the molecule(s) in question, along with a specification of where to find the parent force field. As such, MkVsites can be a very valuable tool suite for anyone who is routinely using GROMACS for the simulation of molecular systems.

Identifiants

pubmed: 32282082
doi: 10.1002/jcc.26198
pmc: PMC7384070
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1564-1569

Informations de copyright

© 2020 Wiley Periodicals, Inc.

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Auteurs

Per Larsson (P)

Department of Pharmacy, Uppsala Biomedical Research Centre, Uppsala University, Uppsala, Sweden.

Rosita C Kneiszl (RC)

Department of Pharmacy, Uppsala Biomedical Research Centre, Uppsala University, Uppsala, Sweden.

Erik G Marklund (EG)

Department of Chemistry - BMC, Uppsala Biomedical Research Centre, Uppsala University, Uppsala, Sweden.

Classifications MeSH