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ModelCIF: An Extension of PDBx/mmCIF Data Representation for Computed Structure Models

Vallat, B; Tauriello, G; Bienert, S; Haas, J; Webb, BM; Žídek, A; Zheng, W; ... Westbrook, JD; + view all (2023) ModelCIF: An Extension of PDBx/mmCIF Data Representation for Computed Structure Models. Journal of Molecular Biology , Article 168021. 10.1016/j.jmb.2023.168021. (In press). Green open access

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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. ModelCIF describes the specific set of attributes and metadata associated with macromolecular structures modeled by solely computational methods and provides an extensible data representation for deposition, archiving, and public dissemination of predicted three-dimensional (3D) models of macromolecules. 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 3D structures of macromolecules and associated metadata. 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.

Type: Article
Title: ModelCIF: An Extension of PDBx/mmCIF Data Representation for Computed Structure Models
Location: Netherlands
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jmb.2023.168021
Publisher version: https://doi.org/10.1016/j.jmb.2023.168021
Language: English
Additional information: ©2023 The Author(s). Published by Elsevier Ltd.This is an open access article under the CC BY license (http://creativecommons.org/ licenses/by/4.0/).
Keywords: Computed Structure Models, Data Standard, ModelCIF, PDBx/mmCIF, Protein Structure Prediction
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Structural and Molecular Biology
URI: https://discovery.ucl.ac.uk/id/eprint/10167512
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