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BRENDA in 2015: exciting developments in its 25th year of existence
The BRENDA enzyme information system (http://www.brenda-enzymes.org/) has developed into an elaborate system of enzyme and enzyme-ligand information obtained from different sources, combined with flexible query systems and evaluation tools. The information is obtained by manual extraction from prima...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383907/ https://www.ncbi.nlm.nih.gov/pubmed/25378310 http://dx.doi.org/10.1093/nar/gku1068 |
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author | Chang, Antje Schomburg, Ida Placzek, Sandra Jeske, Lisa Ulbrich, Marcus Xiao, Mei Sensen, Christoph W. Schomburg, Dietmar |
author_facet | Chang, Antje Schomburg, Ida Placzek, Sandra Jeske, Lisa Ulbrich, Marcus Xiao, Mei Sensen, Christoph W. Schomburg, Dietmar |
author_sort | Chang, Antje |
collection | PubMed |
description | The BRENDA enzyme information system (http://www.brenda-enzymes.org/) has developed into an elaborate system of enzyme and enzyme-ligand information obtained from different sources, combined with flexible query systems and evaluation tools. The information is obtained by manual extraction from primary literature, text and data mining, data integration, and prediction algorithms. Approximately 300 million data include enzyme function and molecular data from more than 30 000 organisms. The manually derived core contains 3 million data from 77 000 enzymes annotated from 135 000 literature references. Each entry is connected to the literature reference and the source organism. They are complemented by information on occurrence, enzyme/disease relationships from text mining, sequences and 3D structures from other databases, and predicted enzyme location and genome annotation. Functional and structural data of more than 190 000 enzyme ligands are stored in BRENDA. New features improving the functionality and analysis tools were implemented. The human anatomy atlas CAVEman is linked to the BRENDA Tissue Ontology terms providing a connection between anatomical and functional enzyme data. Word Maps for enzymes obtained from PubMed abstracts highlight application and scientific relevance of enzymes. The EnzymeDetector genome annotation tool and the reaction database BKM-react including reactions from BRENDA, KEGG and MetaCyc were improved. The website was redesigned providing new query options. |
format | Online Article Text |
id | pubmed-4383907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43839072015-04-08 BRENDA in 2015: exciting developments in its 25th year of existence Chang, Antje Schomburg, Ida Placzek, Sandra Jeske, Lisa Ulbrich, Marcus Xiao, Mei Sensen, Christoph W. Schomburg, Dietmar Nucleic Acids Res Database Issue The BRENDA enzyme information system (http://www.brenda-enzymes.org/) has developed into an elaborate system of enzyme and enzyme-ligand information obtained from different sources, combined with flexible query systems and evaluation tools. The information is obtained by manual extraction from primary literature, text and data mining, data integration, and prediction algorithms. Approximately 300 million data include enzyme function and molecular data from more than 30 000 organisms. The manually derived core contains 3 million data from 77 000 enzymes annotated from 135 000 literature references. Each entry is connected to the literature reference and the source organism. They are complemented by information on occurrence, enzyme/disease relationships from text mining, sequences and 3D structures from other databases, and predicted enzyme location and genome annotation. Functional and structural data of more than 190 000 enzyme ligands are stored in BRENDA. New features improving the functionality and analysis tools were implemented. The human anatomy atlas CAVEman is linked to the BRENDA Tissue Ontology terms providing a connection between anatomical and functional enzyme data. Word Maps for enzymes obtained from PubMed abstracts highlight application and scientific relevance of enzymes. The EnzymeDetector genome annotation tool and the reaction database BKM-react including reactions from BRENDA, KEGG and MetaCyc were improved. The website was redesigned providing new query options. Oxford University Press 2014-11-05 2015-01-28 /pmc/articles/PMC4383907/ /pubmed/25378310 http://dx.doi.org/10.1093/nar/gku1068 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. https://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/ (https://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 Schomburg, Ida Placzek, Sandra Jeske, Lisa Ulbrich, Marcus Xiao, Mei Sensen, Christoph W. Schomburg, Dietmar BRENDA in 2015: exciting developments in its 25th year of existence |
title | BRENDA in 2015: exciting developments in its 25th year of existence |
title_full | BRENDA in 2015: exciting developments in its 25th year of existence |
title_fullStr | BRENDA in 2015: exciting developments in its 25th year of existence |
title_full_unstemmed | BRENDA in 2015: exciting developments in its 25th year of existence |
title_short | BRENDA in 2015: exciting developments in its 25th year of existence |
title_sort | brenda in 2015: exciting developments in its 25th year of existence |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383907/ https://www.ncbi.nlm.nih.gov/pubmed/25378310 http://dx.doi.org/10.1093/nar/gku1068 |
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