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Sharing Data from Molecular Simulations
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Number of Authors: 222019 (English)In: Journal of Chemical Information and Modeling, ISSN 1549-9596, E-ISSN 1549-960X, Vol. 59, no 10, p. 4093-4099Article in journal (Refereed) Published
Abstract [en]

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 has 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, 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 simulation data. To discuss these and other issues related to best practices in the field in general, we organized a workshop in November 2018 (https://bioexcel.eu/events/workshop-on-sharing-data-from-molecular-simulations/). Here, we present a brief overview of this workshop and topics discussed. We hope this effort will spark further conversation in the MD community to pave the way toward more open, interoperable, and reproducible outputs coming from research studies using MD simulations.

Place, publisher, year, edition, pages
2019. Vol. 59, no 10, p. 4093-4099
National Category
Computer and Information Sciences Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:su:diva-178586DOI: 10.1021/acs.jcim.9b00665ISI: 000503918200007PubMedID: 31525920OAI: oai:DiVA.org:su-178586DiVA, id: diva2:1391713
Available from: 2020-02-05 Created: 2020-02-05 Last updated: 2020-02-06Bibliographically approved

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Bonvin, Alexandre M. J. J.Chavent, MatthieuChodera, JohnDelemotte, LucieHoward, Rebecca J.Jordan, E. JosephLindahl, ErikStansfeld, Phillip J.Tiemann, Johanna K. S.
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Department of Biochemistry and BiophysicsScience for Life Laboratory (SciLifeLab)
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