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The Bologna Annotation Resource (BAR 3.0): improving protein functional annotation
BAR 3.0 updates our server BAR (Bologna Annotation Resource) for predicting protein structural and functional features from sequence. We increase data volume, query capabilities and information conveyed to the user. The core of BAR 3.0 is a graph-based clustering procedure of UniProtKB sequences, fo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570247/ https://www.ncbi.nlm.nih.gov/pubmed/28453653 http://dx.doi.org/10.1093/nar/gkx330 |
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author | Profiti, Giuseppe Martelli, Pier Luigi Casadio, Rita |
author_facet | Profiti, Giuseppe Martelli, Pier Luigi Casadio, Rita |
author_sort | Profiti, Giuseppe |
collection | PubMed |
description | BAR 3.0 updates our server BAR (Bologna Annotation Resource) for predicting protein structural and functional features from sequence. We increase data volume, query capabilities and information conveyed to the user. The core of BAR 3.0 is a graph-based clustering procedure of UniProtKB sequences, following strict pairwise similarity criteria (sequence identity ≥40% with alignment coverage ≥90%). Each cluster contains the available annotation downloaded from UniProtKB, GO, PFAM and PDB. After statistical validation, GO terms and PFAM domains are cluster-specific and annotate new sequences entering the cluster after satisfying similarity constraints. BAR 3.0 includes 28 869 663 sequences in 1 361 773 clusters, of which 22.2% (22 241 661 sequences) and 47.4% (24 555 055 sequences) have at least one validated GO term and one PFAM domain, respectively. 1.4% of the clusters (36% of all sequences) include PDB structures and the cluster is associated to a hidden Markov model that allows building template-target alignment suitable for structural modeling. Some other 3 399 026 sequences are singletons. BAR 3.0 offers an improved search interface, allowing queries by UniProtKB-accession, Fasta sequence, GO-term, PFAM-domain, organism, PDB and ligand/s. When evaluated on the CAFA2 targets, BAR 3.0 largely outperforms our previous version and scores among state-of-the-art methods. BAR 3.0 is publicly available and accessible at http://bar.biocomp.unibo.it/bar3. |
format | Online Article Text |
id | pubmed-5570247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-55702472017-08-29 The Bologna Annotation Resource (BAR 3.0): improving protein functional annotation Profiti, Giuseppe Martelli, Pier Luigi Casadio, Rita Nucleic Acids Res Web Server Issue BAR 3.0 updates our server BAR (Bologna Annotation Resource) for predicting protein structural and functional features from sequence. We increase data volume, query capabilities and information conveyed to the user. The core of BAR 3.0 is a graph-based clustering procedure of UniProtKB sequences, following strict pairwise similarity criteria (sequence identity ≥40% with alignment coverage ≥90%). Each cluster contains the available annotation downloaded from UniProtKB, GO, PFAM and PDB. After statistical validation, GO terms and PFAM domains are cluster-specific and annotate new sequences entering the cluster after satisfying similarity constraints. BAR 3.0 includes 28 869 663 sequences in 1 361 773 clusters, of which 22.2% (22 241 661 sequences) and 47.4% (24 555 055 sequences) have at least one validated GO term and one PFAM domain, respectively. 1.4% of the clusters (36% of all sequences) include PDB structures and the cluster is associated to a hidden Markov model that allows building template-target alignment suitable for structural modeling. Some other 3 399 026 sequences are singletons. BAR 3.0 offers an improved search interface, allowing queries by UniProtKB-accession, Fasta sequence, GO-term, PFAM-domain, organism, PDB and ligand/s. When evaluated on the CAFA2 targets, BAR 3.0 largely outperforms our previous version and scores among state-of-the-art methods. BAR 3.0 is publicly available and accessible at http://bar.biocomp.unibo.it/bar3. Oxford University Press 2017-07-03 2017-04-27 /pmc/articles/PMC5570247/ /pubmed/28453653 http://dx.doi.org/10.1093/nar/gkx330 Text en © The Author(s) 2017. 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 | Web Server Issue Profiti, Giuseppe Martelli, Pier Luigi Casadio, Rita The Bologna Annotation Resource (BAR 3.0): improving protein functional annotation |
title | The Bologna Annotation Resource (BAR 3.0): improving protein functional annotation |
title_full | The Bologna Annotation Resource (BAR 3.0): improving protein functional annotation |
title_fullStr | The Bologna Annotation Resource (BAR 3.0): improving protein functional annotation |
title_full_unstemmed | The Bologna Annotation Resource (BAR 3.0): improving protein functional annotation |
title_short | The Bologna Annotation Resource (BAR 3.0): improving protein functional annotation |
title_sort | bologna annotation resource (bar 3.0): improving protein functional annotation |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570247/ https://www.ncbi.nlm.nih.gov/pubmed/28453653 http://dx.doi.org/10.1093/nar/gkx330 |
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