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Unified access to up-to-date residue-level annotations from UniProtKB and other biological databases for PDB data
More than 61,000 proteins have up-to-date correspondence between their amino acid sequence (UniProtKB) and their 3D structures (PDB), enabled by the Structure Integration with Function, Taxonomy and Sequences (SIFTS) resource. SIFTS incorporates residue-level annotations from many other biological r...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097656/ https://www.ncbi.nlm.nih.gov/pubmed/37045837 http://dx.doi.org/10.1038/s41597-023-02101-6 |
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author | Choudhary, Preeti Anyango, Stephen Berrisford, John Tolchard, James Varadi, Mihaly Velankar, Sameer |
author_facet | Choudhary, Preeti Anyango, Stephen Berrisford, John Tolchard, James Varadi, Mihaly Velankar, Sameer |
author_sort | Choudhary, Preeti |
collection | PubMed |
description | More than 61,000 proteins have up-to-date correspondence between their amino acid sequence (UniProtKB) and their 3D structures (PDB), enabled by the Structure Integration with Function, Taxonomy and Sequences (SIFTS) resource. SIFTS incorporates residue-level annotations from many other biological resources. SIFTS data is available in various formats like XML, CSV and TSV format or also accessible via the PDBe REST API but always maintained separately from the structure data (PDBx/mmCIF file) in the PDB archive. Here, we extended the wwPDB PDBx/mmCIF data dictionary with additional categories to accommodate SIFTS data and added the UniProtKB, Pfam, SCOP2, and CATH residue-level annotations directly into the PDBx/mmCIF files from the PDB archive. With the integrated UniProtKB annotations, these files now provide consistent numbering of residues in different PDB entries allowing easy comparison of structure models. The extended dictionary yields a more consistent, standardised metadata description without altering the core PDB information. This development enables up-to-date cross-reference information at the residue level resulting in better data interoperability, supporting improved data analysis and visualisation. |
format | Online Article Text |
id | pubmed-10097656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100976562023-04-14 Unified access to up-to-date residue-level annotations from UniProtKB and other biological databases for PDB data Choudhary, Preeti Anyango, Stephen Berrisford, John Tolchard, James Varadi, Mihaly Velankar, Sameer Sci Data Article More than 61,000 proteins have up-to-date correspondence between their amino acid sequence (UniProtKB) and their 3D structures (PDB), enabled by the Structure Integration with Function, Taxonomy and Sequences (SIFTS) resource. SIFTS incorporates residue-level annotations from many other biological resources. SIFTS data is available in various formats like XML, CSV and TSV format or also accessible via the PDBe REST API but always maintained separately from the structure data (PDBx/mmCIF file) in the PDB archive. Here, we extended the wwPDB PDBx/mmCIF data dictionary with additional categories to accommodate SIFTS data and added the UniProtKB, Pfam, SCOP2, and CATH residue-level annotations directly into the PDBx/mmCIF files from the PDB archive. With the integrated UniProtKB annotations, these files now provide consistent numbering of residues in different PDB entries allowing easy comparison of structure models. The extended dictionary yields a more consistent, standardised metadata description without altering the core PDB information. This development enables up-to-date cross-reference information at the residue level resulting in better data interoperability, supporting improved data analysis and visualisation. Nature Publishing Group UK 2023-04-12 /pmc/articles/PMC10097656/ /pubmed/37045837 http://dx.doi.org/10.1038/s41597-023-02101-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Choudhary, Preeti Anyango, Stephen Berrisford, John Tolchard, James Varadi, Mihaly Velankar, Sameer Unified access to up-to-date residue-level annotations from UniProtKB and other biological databases for PDB data |
title | Unified access to up-to-date residue-level annotations from UniProtKB and other biological databases for PDB data |
title_full | Unified access to up-to-date residue-level annotations from UniProtKB and other biological databases for PDB data |
title_fullStr | Unified access to up-to-date residue-level annotations from UniProtKB and other biological databases for PDB data |
title_full_unstemmed | Unified access to up-to-date residue-level annotations from UniProtKB and other biological databases for PDB data |
title_short | Unified access to up-to-date residue-level annotations from UniProtKB and other biological databases for PDB data |
title_sort | unified access to up-to-date residue-level annotations from uniprotkb and other biological databases for pdb data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097656/ https://www.ncbi.nlm.nih.gov/pubmed/37045837 http://dx.doi.org/10.1038/s41597-023-02101-6 |
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