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PMID: 23407358 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit.

Bioinformatics (Oxford, England) ·Vol. 29 ·No. 7 ·2013-04-01 ·Pages 845-54

Pronk S, Páll S, Schulz R, Larsson P, Bjelkmar P, Apostolov R, Shirts MR, Smith JC, Kasson PM, van der Spoel D, Hess B, Lindahl E

Abstract

Molecular simulation has historically been a low-throughput technique, but faster computers and increasing amounts of genomic and structural data are changing this by enabling large-scale automated simulation of, for instance, many conformers or mutants of biomolecules with or without a range of ligands. At the same time, advances in performance and scaling now make it possible to model complex biomolecular interaction and function in a manner directly testable by experiment. These applications share a need for fast and efficient software that can be deployed on massive scale in clusters, web servers, distributed computing or cloud resources. Here, we present a range of new simulation algorithms and features developed during the past 4 years, leading up to the GROMACS 4.5 software package. The software now automatically handles wide classes of biomolecules, such as proteins, nucleic acids and lipids, and comes with all commonly used force fields for these molecules built-in. GROMACS supports several implicit solvent models, as well as new free-energy algorithms, and the software now uses multithreading for efficient parallelization even on low-end systems, including windows-based workstations. Together with hand-tuned assembly kernels and state-of-the-art parallelization, this provides extremely high performance and cost efficiency for high-throughput as well as massively parallel simulations. GROMACS is an open source and free software available from http://www.gromacs.org. Supplementary data are available at Bioinformatics online.

MeSH Terms
Algorithms Molecular Dynamics Simulation Proteins/chemistry Software
Chemicals
Proteins
Authors & Affiliations
12 authors, click to expand affiliations / ORCID
Pronk Sander
Science for Life Laboratory, Stockholm and Uppsala, 171 21 Stockholm, Sweden.
Páll Szilárd
Schulz Roland
Larsson Per
Bjelkmar Pär
Apostolov Rossen
Shirts Michael R
Smith Jeremy C
Kasson Peter M
van der Spoel David
Hess Berk
Lindahl Erik
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Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2013-04-01
Epub
2013-00-13
Pages
845-54
Language
English
Region
England
NLM ID
9808944
PMCID
PMC3605599
Subset
IM
Grants
NIGMS NIH HHS · R01 GM098304 · United States
NIGMS NIH HHS · R01GM098304 · United States
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