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Sharing Data from Molecular Simulations

Authors :
Abraham, Mark James
Apostolov, Rossen Pavlov
Barnoud, Jonathan
Bauer, Paul
Blau, Christian
Bonvin, Alexandre M.J.J.
Chavent, Matthieu
Chodera, John Damon
Čondić-Jurkić, Karmen
Delemotte, Lucie
Grubmüller, Helmut
Howard, Rebecca J.
Jordan, E. Joseph
Lindal, Erik
Ollila, O.H. Samuli
Selent, Jana
Smith, Daniel G. A.
Stansfeld, Phill James
Tiemann, Johanna K. S.
Trellet, Mikael
Woods, Christopher J.
Zhmurov, Artem
Abraham, Mark James
Apostolov, Rossen Pavlov
Barnoud, Jonathan
Bauer, Paul
Blau, Christian
Bonvin, Alexandre M.J.J.
Chavent, Matthieu
Chodera, John Damon
Čondić-Jurkić, Karmen
Delemotte, Lucie
Grubmüller, Helmut
Howard, Rebecca J.
Jordan, E. Joseph
Lindal, Erik
Ollila, O.H. Samuli
Selent, Jana
Smith, Daniel G. A.
Stansfeld, Phill James
Tiemann, Johanna K. S.
Trellet, Mikael
Woods, Christopher J.
Zhmurov, Artem
Source :
Journal of Chemical Information and Modeling vol.59 (2019) date: 2019-09-16 nr.10 p.4093-4099 [ISSN 1549-9596]
Publication Year :
2019

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...

Details

Database :
OAIster
Journal :
Journal of Chemical Information and Modeling vol.59 (2019) date: 2019-09-16 nr.10 p.4093-4099 [ISSN 1549-9596]
Notes :
DOI: 10.1021/acs.jcim.9b00665, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1445811222
Document Type :
Electronic Resource