Varadi, Mihaly;
Anyango, Stephen;
Armstrong, David;
Berrisford, John;
Choudhary, Preeti;
Deshpande, Mandar;
Nadzirin, Nurul;
... Velankar, Sameer; + view all
(2022)
PDBe-KB: collaboratively defining the biological context of structural data.
Nucleic Acids Research
, 50
(D1)
D534-D542.
10.1093/nar/gkab988.
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Abstract
The Protein Data Bank in Europe - Knowledge Base (PDBe-KB, https://pdbe-kb.org) is an open collaboration between world-leading specialist data resources contributing functional and biophysical annotations derived from or relevant to the Protein Data Bank (PDB). The goal of PDBe-KB is to place macromolecular structure data in their biological context by developing standardised data exchange formats and integrating functional annotations from the contributing partner resources into a knowledge graph that can provide valuable biological insights. Since we described PDBe-KB in 2019, there have been significant improvements in the variety of available annotation data sets and user functionality. Here, we provide an overview of the consortium, highlighting the addition of annotations such as predicted covalent binders, phosphorylation sites, effects of mutations on the protein structure and energetic local frustration. In addition, we describe a library of reusable web-based visualisation components and introduce new features such as a bulk download data service and a novel superposition service that generates clusters of superposed protein chains weekly for the whole PDB archive.
Type: | Article |
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Title: | PDBe-KB: collaboratively defining the biological context of structural data |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1093/nar/gkab988 |
Publisher version: | https://doi.org/10.1093/nar/gkab988 |
Language: | English |
Additional information: | © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Science & Technology, Life Sciences & Biomedicine, Biochemistry & Molecular Biology, WEB SERVER, PROTEIN, PREDICT |
UCL classification: | 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 > Structural and Molecular Biology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences |
URI: | https://discovery.ucl.ac.uk/id/eprint/10143112 |
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