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CATH FunFHMMer web server: protein functional annotations using functional family assignments
The widening function annotation gap in protein databases and the increasing number and diversity of the proteins being sequenced presents new challenges to protein function prediction methods. Multidomain proteins complicate the protein sequence–structure–function relationship further as new combin...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489299/ https://www.ncbi.nlm.nih.gov/pubmed/25964299 http://dx.doi.org/10.1093/nar/gkv488 |
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author | Das, Sayoni Sillitoe, Ian Lee, David Lees, Jonathan G. Dawson, Natalie L. Ward, John Orengo, Christine A. |
author_facet | Das, Sayoni Sillitoe, Ian Lee, David Lees, Jonathan G. Dawson, Natalie L. Ward, John Orengo, Christine A. |
author_sort | Das, Sayoni |
collection | PubMed |
description | The widening function annotation gap in protein databases and the increasing number and diversity of the proteins being sequenced presents new challenges to protein function prediction methods. Multidomain proteins complicate the protein sequence–structure–function relationship further as new combinations of domains can expand the functional repertoire, creating new proteins and functions. Here, we present the FunFHMMer web server, which provides Gene Ontology (GO) annotations for query protein sequences based on the functional classification of the domain-based CATH-Gene3D resource. Our server also provides valuable information for the prediction of functional sites. The predictive power of FunFHMMer has been validated on a set of 95 proteins where FunFHMMer performs better than BLAST, Pfam and CDD. Recent validation by an independent international competition ranks FunFHMMer as one of the top function prediction methods in predicting GO annotations for both the Biological Process and Molecular Function Ontology. The FunFHMMer web server is available at http://www.cathdb.info/search/by_funfhmmer. |
format | Online Article Text |
id | pubmed-4489299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-44892992015-07-07 CATH FunFHMMer web server: protein functional annotations using functional family assignments Das, Sayoni Sillitoe, Ian Lee, David Lees, Jonathan G. Dawson, Natalie L. Ward, John Orengo, Christine A. Nucleic Acids Res Web Server issue The widening function annotation gap in protein databases and the increasing number and diversity of the proteins being sequenced presents new challenges to protein function prediction methods. Multidomain proteins complicate the protein sequence–structure–function relationship further as new combinations of domains can expand the functional repertoire, creating new proteins and functions. Here, we present the FunFHMMer web server, which provides Gene Ontology (GO) annotations for query protein sequences based on the functional classification of the domain-based CATH-Gene3D resource. Our server also provides valuable information for the prediction of functional sites. The predictive power of FunFHMMer has been validated on a set of 95 proteins where FunFHMMer performs better than BLAST, Pfam and CDD. Recent validation by an independent international competition ranks FunFHMMer as one of the top function prediction methods in predicting GO annotations for both the Biological Process and Molecular Function Ontology. The FunFHMMer web server is available at http://www.cathdb.info/search/by_funfhmmer. Oxford University Press 2015-07-01 2015-05-11 /pmc/articles/PMC4489299/ /pubmed/25964299 http://dx.doi.org/10.1093/nar/gkv488 Text en © The Author(s) 2015. 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 | Web Server issue Das, Sayoni Sillitoe, Ian Lee, David Lees, Jonathan G. Dawson, Natalie L. Ward, John Orengo, Christine A. CATH FunFHMMer web server: protein functional annotations using functional family assignments |
title | CATH FunFHMMer web server: protein functional annotations using functional family assignments |
title_full | CATH FunFHMMer web server: protein functional annotations using functional family assignments |
title_fullStr | CATH FunFHMMer web server: protein functional annotations using functional family assignments |
title_full_unstemmed | CATH FunFHMMer web server: protein functional annotations using functional family assignments |
title_short | CATH FunFHMMer web server: protein functional annotations using functional family assignments |
title_sort | cath funfhmmer web server: protein functional annotations using functional family assignments |
topic | Web Server issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489299/ https://www.ncbi.nlm.nih.gov/pubmed/25964299 http://dx.doi.org/10.1093/nar/gkv488 |
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