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

Authors

  • Peter Eastman Author
  • Jason Swails Author
  • John D. Chodera Author
  • Robert T. McGibbon Author
  • Yutong Zhao Author
  • Kyle A. Beauchamp Author
  • Lee-Ping Wang Author
  • Andrew C. Simmonett Author
  • Matthew P. Harrigan Author
  • Chaya D. Stern Author
  • Rafal P. Wiewiora Author
  • Bernard R. Brooks Author
  • Vijay S. Pande Author

Keywords:

Computer & Data Science

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.

Publication information

Originally published in PLOS Computational Biology on 2017-07-26. Original DOI: 10.1371/journal.pcbi.1005659.

The original full text is available here under CC0 1.0. The displayed publication date is the original publication date.

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Original publication date

2017-07-26

Issue

Section

Research Articles