UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

PDBe-KB: collaboratively defining the biological context of structural data

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. Green open access

[thumbnail of gkab988.pdf]
Preview
PDF
gkab988.pdf - Published Version

Download (1MB) | Preview

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
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
Downloads since deposit
95Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item