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BENZ WS: the Bologna ENZyme Web Server for four-level EC number annotation
The Bologna ENZyme Web Server (BENZ WS) annotates four-level Enzyme Commission numbers (EC numbers) as defined by the International Union of Biochemistry and Molecular Biology (IUBMB). BENZ WS filters a target sequence with a combined system of Hidden Markov Models, modelling protein sequences annot...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262719/ https://www.ncbi.nlm.nih.gov/pubmed/33963861 http://dx.doi.org/10.1093/nar/gkab328 |
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author | Baldazzi, Davide Savojardo, Castrense Martelli, Pier Luigi Casadio, Rita |
author_facet | Baldazzi, Davide Savojardo, Castrense Martelli, Pier Luigi Casadio, Rita |
author_sort | Baldazzi, Davide |
collection | PubMed |
description | The Bologna ENZyme Web Server (BENZ WS) annotates four-level Enzyme Commission numbers (EC numbers) as defined by the International Union of Biochemistry and Molecular Biology (IUBMB). BENZ WS filters a target sequence with a combined system of Hidden Markov Models, modelling protein sequences annotated with the same molecular function, and Pfams, carrying along conserved protein domains. BENZ returns, when successful, for any enzyme target sequence an associated four-level EC number. Our system can annotate both monofunctional and polyfunctional enzymes, and it can be a valuable resource for sequence functional annotation. |
format | Online Article Text |
id | pubmed-8262719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82627192021-07-08 BENZ WS: the Bologna ENZyme Web Server for four-level EC number annotation Baldazzi, Davide Savojardo, Castrense Martelli, Pier Luigi Casadio, Rita Nucleic Acids Res Web Server Issue The Bologna ENZyme Web Server (BENZ WS) annotates four-level Enzyme Commission numbers (EC numbers) as defined by the International Union of Biochemistry and Molecular Biology (IUBMB). BENZ WS filters a target sequence with a combined system of Hidden Markov Models, modelling protein sequences annotated with the same molecular function, and Pfams, carrying along conserved protein domains. BENZ returns, when successful, for any enzyme target sequence an associated four-level EC number. Our system can annotate both monofunctional and polyfunctional enzymes, and it can be a valuable resource for sequence functional annotation. Oxford University Press 2021-05-08 /pmc/articles/PMC8262719/ /pubmed/33963861 http://dx.doi.org/10.1093/nar/gkab328 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://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 | Web Server Issue Baldazzi, Davide Savojardo, Castrense Martelli, Pier Luigi Casadio, Rita BENZ WS: the Bologna ENZyme Web Server for four-level EC number annotation |
title | BENZ WS: the Bologna ENZyme Web Server for four-level EC number annotation |
title_full | BENZ WS: the Bologna ENZyme Web Server for four-level EC number annotation |
title_fullStr | BENZ WS: the Bologna ENZyme Web Server for four-level EC number annotation |
title_full_unstemmed | BENZ WS: the Bologna ENZyme Web Server for four-level EC number annotation |
title_short | BENZ WS: the Bologna ENZyme Web Server for four-level EC number annotation |
title_sort | benz ws: the bologna enzyme web server for four-level ec number annotation |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262719/ https://www.ncbi.nlm.nih.gov/pubmed/33963861 http://dx.doi.org/10.1093/nar/gkab328 |
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