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BRENDA in 2017: new perspectives and new tools in BRENDA

The BRENDA enzyme database (www.brenda-enzymes.org) has developed into the main enzyme and enzyme-ligand information system in its 30 years of existence. The information is manually extracted from primary literature and extended by text mining procedures, integration of external data and prediction...

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Autores principales: Placzek, Sandra, Schomburg, Ida, Chang, Antje, Jeske, Lisa, Ulbrich, Marcus, Tillack, Jana, Schomburg, Dietmar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210646/
https://www.ncbi.nlm.nih.gov/pubmed/27924025
http://dx.doi.org/10.1093/nar/gkw952
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author Placzek, Sandra
Schomburg, Ida
Chang, Antje
Jeske, Lisa
Ulbrich, Marcus
Tillack, Jana
Schomburg, Dietmar
author_facet Placzek, Sandra
Schomburg, Ida
Chang, Antje
Jeske, Lisa
Ulbrich, Marcus
Tillack, Jana
Schomburg, Dietmar
author_sort Placzek, Sandra
collection PubMed
description The BRENDA enzyme database (www.brenda-enzymes.org) has developed into the main enzyme and enzyme-ligand information system in its 30 years of existence. The information is manually extracted from primary literature and extended by text mining procedures, integration of external data and prediction algorithms. Approximately 3 million data from 83 000 enzymes and 137 000 literature references constitute the manually annotated core. Text mining procedures extend these data with information on occurrence, enzyme-disease relationships and kinetic data. Prediction algorithms contribute locations and genome annotations. External data and links complete the data with sequences and 3D structures. A total of 206 000 enzyme ligands provide functional and structural data. BRENDA offers a complex query tool engine allowing the users an efficient access to the data via different search methods and explorers. The new design of the BRENDA entry page and the enzyme summary pages improves the user access and the performance. New interactive and intuitive BRENDA pathway maps give an overview on biochemical processes and facilitate the visualization of enzyme, ligand and organism information in the biochemical context. SCOPe and CATH, databases for protein structure classification, are included. New online and video tutorials provide online training for the users. BRENDA is freely available for academic users.
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spelling pubmed-52106462017-01-05 BRENDA in 2017: new perspectives and new tools in BRENDA Placzek, Sandra Schomburg, Ida Chang, Antje Jeske, Lisa Ulbrich, Marcus Tillack, Jana Schomburg, Dietmar Nucleic Acids Res Database Issue The BRENDA enzyme database (www.brenda-enzymes.org) has developed into the main enzyme and enzyme-ligand information system in its 30 years of existence. The information is manually extracted from primary literature and extended by text mining procedures, integration of external data and prediction algorithms. Approximately 3 million data from 83 000 enzymes and 137 000 literature references constitute the manually annotated core. Text mining procedures extend these data with information on occurrence, enzyme-disease relationships and kinetic data. Prediction algorithms contribute locations and genome annotations. External data and links complete the data with sequences and 3D structures. A total of 206 000 enzyme ligands provide functional and structural data. BRENDA offers a complex query tool engine allowing the users an efficient access to the data via different search methods and explorers. The new design of the BRENDA entry page and the enzyme summary pages improves the user access and the performance. New interactive and intuitive BRENDA pathway maps give an overview on biochemical processes and facilitate the visualization of enzyme, ligand and organism information in the biochemical context. SCOPe and CATH, databases for protein structure classification, are included. New online and video tutorials provide online training for the users. BRENDA is freely available for academic users. Oxford University Press 2017-01-04 2016-10-19 /pmc/articles/PMC5210646/ /pubmed/27924025 http://dx.doi.org/10.1093/nar/gkw952 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Placzek, Sandra
Schomburg, Ida
Chang, Antje
Jeske, Lisa
Ulbrich, Marcus
Tillack, Jana
Schomburg, Dietmar
BRENDA in 2017: new perspectives and new tools in BRENDA
title BRENDA in 2017: new perspectives and new tools in BRENDA
title_full BRENDA in 2017: new perspectives and new tools in BRENDA
title_fullStr BRENDA in 2017: new perspectives and new tools in BRENDA
title_full_unstemmed BRENDA in 2017: new perspectives and new tools in BRENDA
title_short BRENDA in 2017: new perspectives and new tools in BRENDA
title_sort brenda in 2017: new perspectives and new tools in brenda
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210646/
https://www.ncbi.nlm.nih.gov/pubmed/27924025
http://dx.doi.org/10.1093/nar/gkw952
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