Sharing Data from Molecular Simulations

Mark James Abraham, Rossen Pavlov Apostolov, Jonathan Barnoud, Paul Bauer, Christian Blau, Alexandre M.J.J. Bonvin, Matthieu Chavent, John Damon Chodera, Karmen Čondić-Jurkić, Lucie Delemotte, Helmut Grubmüller, Rebecca J. Howard, E. Joseph Jordan, Erik Lindal, O.H. Samuli Ollila, Jana Selent, Daniel G. A. Smith, Phill James Stansfeld, Johanna K. S. Tiemann, Mikael TrelletChristopher J. Woods, Artem Zhmurov

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Given the need for modern researchers to produce open, reproducible scientific output, the lack of standards and best practices for sharing data and workflows used to produce and analyze molecular dynamics (MD) simulations have become an important issue in the field. There are now multiple well-established packages to perform molecular dynamics simulations, often highly tuned for exploiting specific classes of hardware, and each with strong communities surrounding them, but with very limited interoperability/transferability options. Thus, the choice of the software package often dictates the workflow for both simulation production and analysis. The level of detail in documenting the workflows and analysis code varies greatly in published work, hindering reproducibility of the reported results and the ability for other researchers to build on these studies. An increasing number of researchers are motivated to make their data available, but many challenges remain in order to effectively share and reuse simu...
Original languageEnglish
Pages (from-to)4093-4099
JournalJournal of Chemical Information and Modeling
Volume59
Issue number10
DOIs
Publication statusPublished - 17 Sept 2019

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