Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6557
Title: PDBe-KB: collaboratively defining the biological context of structural data
Authors: Varadi, Mihaly
MADHUSUDHAN, M. S.
SINGH, GULZAR et al.
Dept. of Biology
Keywords: Web Server
Protein
Predict
2022-FEB-WEEK1
TOC-FEB-2022
2022
Issue Date: Jan-2022
Publisher: Oxford University Press
Citation: Nucleic Acids Research, 50(D1), D534–D542.
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.
URI: https://doi.org/10.1093/nar/gkab988
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6557
ISSN: 0305-1048
1362-4962
Appears in Collections:JOURNAL ARTICLES

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.