OpenMM 7: Rapid development of high performance algorithms for molecular dynamics Journal Article


Authors: Eastman, P.; Swails, J.; Chodera, J. D.; McGibbon, R. T.; Zhao, Y.; Beauchamp, K. A.; Wang, L. P.; Simmonett, A. C.; Harrigan, M. P.; Stern, C. D.; Wiewiora, R. P.; Brooks, B. R.; Pande, V. S.
Article Title: OpenMM 7: Rapid development of high performance algorithms for molecular dynamics
Abstract: OpenMM is a molecular dynamics simulation toolkit with a unique focus on extensibility. It allows users to easily add new features, including forces with novel functional forms, new integration algorithms, and new simulation protocols. Those features automatically work on all supported hardware types (including both CPUs and GPUs) and perform well on all of them. In many cases they require minimal coding, just a mathematical description of the desired function. They also require no modification to OpenMM itself and can be distributed independently of OpenMM. This makes it an ideal tool for researchers developing new simulation methods, and also allows those new methods to be immediately available to the larger community. © Public Library of Science. All Rights Reserved.
Keywords: biology; computational biology; molecular dynamics; algorithms; algorithm; software; molecular dynamics simulation; procedures
Journal Title: PLoS Computational Biology
Volume: 13
Issue: 7
ISSN: 1553-7358
Publisher: Public Library of Science  
Date Published: 2017-07-26
Start Page: e1005659
Language: English
DOI: 10.1371/journal.pcbi.1005659
PUBMED: 28746339
PROVIDER: scopus
PMCID: PMC5549999
DOI/URL:
Notes: Article -- Export Date: 5 September 2017 -- Source: Scopus
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  1. John Damon Chodera
    118 Chodera
  2. Chaya Stern
    5 Stern