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ModelCIF: An extension of PDBx/mmCIF data representation for computed structure models

Authors :
Brinda Vallat
Gerardo Tauriello
Stefan Bienert
Juergen Haas
Benjamin M. Webb
Augustin Žídek
Wei Zheng
Ezra Peisach
Dennis W. Piehl
Ivan Anischanka
Ian Sillitoe
James Tolchard
Mihaly Varadi
David Baker
Christine Orengo
Yang Zhang
Jeffrey C. Hoch
Genji Kurisu
Ardan Patwardhan
Sameer Velankar
Stephen K. Burley
Andrej Sali
Torsten Schwede
Helen M. Berman
John D. Westbrook
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

Abstract

ModelCIF (github.com/ihmwg/ModelCIF) is a data information framework developed for and by computational structural biologists to enable delivery ofFindable, Accessible, Interoperable, andReusable(FAIR) data to users worldwide. It is an extension of the Protein Data Bank Exchange / macromolecular Crystallographic Information Framework (PDBx/mmCIF), which is the global data standard for representing experimentally-determined, three-dimensional (3D) structures of macromolecules and associated metadata. ModelCIF provides an extensible data representation for deposition, archiving, and public dissemination of predicted 3D models of proteins. The PDBx/mmCIF framework and its extensions (e.g., ModelCIF) are managed by the Worldwide Protein Data Bank partnership (wwPDB,wwpdb.org) in collaboration with relevant community stakeholders such as the wwPDB ModelCIF Working Group (wwpdb.org/task/modelcif). This semantically rich and extensible data framework for representing computed structure models (CSMs) accelerates the pace of scientific discovery. Herein, we describe the architecture, contents, and governance of ModelCIF, and tools and processes for maintaining and extending the data standard. Community tools and software libraries that support ModelCIF are also described.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....4c9e257587c0731991f7a08cfd0d716f