Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6557
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dc.contributor.authorVaradi, Mihalyen_US
dc.contributor.authorMADHUSUDHAN, M. S.en_US
dc.contributor.authorSINGH, GULZAR et al.en_US
dc.date.accessioned2022-02-04T05:11:36Z
dc.date.available2022-02-04T05:11:36Z
dc.date.issued2022-01en_US
dc.identifier.citationNucleic Acids Research, 50(D1), D534–D542.en_US
dc.identifier.issn0305-1048en_US
dc.identifier.issn1362-4962en_US
dc.identifier.urihttps://doi.org/10.1093/nar/gkab988en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6557
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherOxford University Pressen_US
dc.subjectWeb Serveren_US
dc.subjectProteinen_US
dc.subjectPredicten_US
dc.subject2022-FEB-WEEK1en_US
dc.subjectTOC-FEB-2022en_US
dc.subject2022en_US
dc.titlePDBe-KB: collaboratively defining the biological context of structural dataen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Biologyen_US
dc.identifier.sourcetitleNucleic Acids Researchen_US
dc.publication.originofpublisherForeignen_US
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