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BRENDA, the ELIXIR core data resource in 2021: new developments and updates
The BRENDA enzyme database (https://www.brenda-enzymes.org), established in 1987, has evolved into the main collection of functional enzyme and metabolism data. In 2018, BRENDA was selected as an ELIXIR Core Data Resource. BRENDA provides reliable data, continuous curation and updates of classified...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779020/ https://www.ncbi.nlm.nih.gov/pubmed/33211880 http://dx.doi.org/10.1093/nar/gkaa1025 |
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author | Chang, Antje Jeske, Lisa Ulbrich, Sandra Hofmann, Julia Koblitz, Julia Schomburg, Ida Neumann-Schaal, Meina Jahn, Dieter Schomburg, Dietmar |
author_facet | Chang, Antje Jeske, Lisa Ulbrich, Sandra Hofmann, Julia Koblitz, Julia Schomburg, Ida Neumann-Schaal, Meina Jahn, Dieter Schomburg, Dietmar |
author_sort | Chang, Antje |
collection | PubMed |
description | The BRENDA enzyme database (https://www.brenda-enzymes.org), established in 1987, has evolved into the main collection of functional enzyme and metabolism data. In 2018, BRENDA was selected as an ELIXIR Core Data Resource. BRENDA provides reliable data, continuous curation and updates of classified enzymes, and the integration of newly discovered enzymes. The main part contains >5 million data for ∼90 000 enzymes from ∼13 000 organisms, manually extracted from ∼157 000 primary literature references, combined with information of text and data mining, data integration, and prediction algorithms. Supplements comprise disease-related data, protein sequences, 3D structures, genome annotations, ligand information, taxonomic, bibliographic, and kinetic data. BRENDA offers an easy access to enzyme information from quick to advanced searches, text- and structured-based queries for enzyme-ligand interactions, word maps, and visualization of enzyme data. The BRENDA Pathway Maps are completely revised and updated for an enhanced interactive and intuitive usability. The new design of the Enzyme Summary Page provides an improved access to each individual enzyme. A new protein structure 3D viewer was integrated. The prediction of the intracellular localization of eukaryotic enzymes has been implemented. The new EnzymeDetector combines BRENDA enzyme annotations with protein and genome databases for the detection of eukaryotic and prokaryotic enzymes. |
format | Online Article Text |
id | pubmed-7779020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77790202021-01-07 BRENDA, the ELIXIR core data resource in 2021: new developments and updates Chang, Antje Jeske, Lisa Ulbrich, Sandra Hofmann, Julia Koblitz, Julia Schomburg, Ida Neumann-Schaal, Meina Jahn, Dieter Schomburg, Dietmar Nucleic Acids Res Database Issue The BRENDA enzyme database (https://www.brenda-enzymes.org), established in 1987, has evolved into the main collection of functional enzyme and metabolism data. In 2018, BRENDA was selected as an ELIXIR Core Data Resource. BRENDA provides reliable data, continuous curation and updates of classified enzymes, and the integration of newly discovered enzymes. The main part contains >5 million data for ∼90 000 enzymes from ∼13 000 organisms, manually extracted from ∼157 000 primary literature references, combined with information of text and data mining, data integration, and prediction algorithms. Supplements comprise disease-related data, protein sequences, 3D structures, genome annotations, ligand information, taxonomic, bibliographic, and kinetic data. BRENDA offers an easy access to enzyme information from quick to advanced searches, text- and structured-based queries for enzyme-ligand interactions, word maps, and visualization of enzyme data. The BRENDA Pathway Maps are completely revised and updated for an enhanced interactive and intuitive usability. The new design of the Enzyme Summary Page provides an improved access to each individual enzyme. A new protein structure 3D viewer was integrated. The prediction of the intracellular localization of eukaryotic enzymes has been implemented. The new EnzymeDetector combines BRENDA enzyme annotations with protein and genome databases for the detection of eukaryotic and prokaryotic enzymes. Oxford University Press 2020-11-19 /pmc/articles/PMC7779020/ /pubmed/33211880 http://dx.doi.org/10.1093/nar/gkaa1025 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Chang, Antje Jeske, Lisa Ulbrich, Sandra Hofmann, Julia Koblitz, Julia Schomburg, Ida Neumann-Schaal, Meina Jahn, Dieter Schomburg, Dietmar BRENDA, the ELIXIR core data resource in 2021: new developments and updates |
title | BRENDA, the ELIXIR core data resource in 2021: new developments and updates |
title_full | BRENDA, the ELIXIR core data resource in 2021: new developments and updates |
title_fullStr | BRENDA, the ELIXIR core data resource in 2021: new developments and updates |
title_full_unstemmed | BRENDA, the ELIXIR core data resource in 2021: new developments and updates |
title_short | BRENDA, the ELIXIR core data resource in 2021: new developments and updates |
title_sort | brenda, the elixir core data resource in 2021: new developments and updates |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779020/ https://www.ncbi.nlm.nih.gov/pubmed/33211880 http://dx.doi.org/10.1093/nar/gkaa1025 |
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