Journal of Molecular BiologyBioinformaticsPeer-reviewed journal article
ModelCIF: An extension of PDBx/mmCIF data representation for computed structure models
Brinda Kizhakke VallatiD, Gerardo TaurielloiD, Stefan BienertiD, Juergen HaasiD, Benjamin WebbiD, Augustin ŽídekiD, Wei Hui ZhengiD, Ezra PeisachiD, Dennis W. PiehliD, Ivan Anischanka, Ian SillitoeiD, James L. TolchardiD, Mihály VáradiiD, David A. BakeriD, Christine Anne OrengoiD, Yang ZhangiD, Jeffrey C. HochiD, Genji KurisuiD, Ardan PatwardhaniD, Sameer S VelankariD, Stephen Kevin BurleyiD, Andrej ŠaliiD, Torsten F. SchwedeiD, Helen Miriam BermaniD, John WestbrookiD
Abstract
ModelCIF (github.com/ihmwg/ModelCIF) is a data information framework developed for and by computational structural biologists to enable delivery of Findable, Accessible, Interoperable, and Reusable (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.
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- top 14%
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