Literature DB >> 31780431

Federating Structural Models and Data: Outcomes from A Workshop on Archiving Integrative Structures.

Helen M Berman1, Paul D Adams2, Alexandre A Bonvin3, Stephen K Burley4, Bridget Carragher5, Wah Chiu6, Frank DiMaio7, Thomas E Ferrin8, Margaret J Gabanyi9, Thomas D Goddard8, Patrick R Griffin10, Juergen Haas11, Christian A Hanke12, Jeffrey C Hoch13, Gerhard Hummer14, Genji Kurisu15, Catherine L Lawson9, Alexander Leitner16, John L Markley17, Jens Meiler18, Gaetano T Montelione19, George N Phillips20, Thomas Prisner21, Juri Rappsilber22, David C Schriemer23, Torsten Schwede11, Claus A M Seidel12, Timothy S Strutzenberg10, Dmitri I Svergun24, Emad Tajkhorshid25, Jill Trewhella26, Brinda Vallat9, Sameer Velankar27, Geerten W Vuister28, Benjamin Webb29, John D Westbrook30, Kate L White31, Andrej Sali32.   

Abstract

Structures of biomolecular systems are increasingly computed by integrative modeling. In this approach, a structural model is constructed by combining information from multiple sources, including varied experimental methods and prior models. In 2019, a Workshop was held as a Biophysical Society Satellite Meeting to assess progress and discuss further requirements for archiving integrative structures. The primary goal of the Workshop was to build consensus for addressing the challenges involved in creating common data standards, building methods for federated data exchange, and developing mechanisms for validating integrative structures. The summary of the Workshop and the recommendations that emerged are presented here.
Copyright © 2019.

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Year:  2019        PMID: 31780431      PMCID: PMC7108332          DOI: 10.1016/j.str.2019.11.002

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


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