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firestar—advances in the prediction of functionally important residues
firestar is a server for predicting catalytic and ligand-binding residues in protein sequences. Here, we present the important developments since the first release of firestar. Previous versions of the server required human interpretation of the results; the server is now fully automatized. firestar...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3125799/ https://www.ncbi.nlm.nih.gov/pubmed/21672959 http://dx.doi.org/10.1093/nar/gkr437 |
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author | Lopez, Gonzalo Maietta, Paolo Rodriguez, Jose Manuel Valencia, Alfonso Tress, Michael L. |
author_facet | Lopez, Gonzalo Maietta, Paolo Rodriguez, Jose Manuel Valencia, Alfonso Tress, Michael L. |
author_sort | Lopez, Gonzalo |
collection | PubMed |
description | firestar is a server for predicting catalytic and ligand-binding residues in protein sequences. Here, we present the important developments since the first release of firestar. Previous versions of the server required human interpretation of the results; the server is now fully automatized. firestar has been implemented as a web service and can now be run in high-throughput mode. Prediction coverage has been greatly improved with the extension of the FireDB database and the addition of alignments generated by HHsearch. Ligands in FireDB are now classified for biological relevance. Many of the changes have been motivated by the critical assessment of techniques for protein structure prediction (CASP) ligand-binding prediction experiment, which provided us with a framework to test the performance of firestar. URL: http://firedb.bioinfo.cnio.es/Php/FireStar.php. |
format | Online Article Text |
id | pubmed-3125799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-31257992011-07-05 firestar—advances in the prediction of functionally important residues Lopez, Gonzalo Maietta, Paolo Rodriguez, Jose Manuel Valencia, Alfonso Tress, Michael L. Nucleic Acids Res Articles firestar is a server for predicting catalytic and ligand-binding residues in protein sequences. Here, we present the important developments since the first release of firestar. Previous versions of the server required human interpretation of the results; the server is now fully automatized. firestar has been implemented as a web service and can now be run in high-throughput mode. Prediction coverage has been greatly improved with the extension of the FireDB database and the addition of alignments generated by HHsearch. Ligands in FireDB are now classified for biological relevance. Many of the changes have been motivated by the critical assessment of techniques for protein structure prediction (CASP) ligand-binding prediction experiment, which provided us with a framework to test the performance of firestar. URL: http://firedb.bioinfo.cnio.es/Php/FireStar.php. Oxford University Press 2011-07-01 2011-06-14 /pmc/articles/PMC3125799/ /pubmed/21672959 http://dx.doi.org/10.1093/nar/gkr437 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Lopez, Gonzalo Maietta, Paolo Rodriguez, Jose Manuel Valencia, Alfonso Tress, Michael L. firestar—advances in the prediction of functionally important residues |
title | firestar—advances in the prediction of functionally important residues |
title_full | firestar—advances in the prediction of functionally important residues |
title_fullStr | firestar—advances in the prediction of functionally important residues |
title_full_unstemmed | firestar—advances in the prediction of functionally important residues |
title_short | firestar—advances in the prediction of functionally important residues |
title_sort | firestar—advances in the prediction of functionally important residues |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3125799/ https://www.ncbi.nlm.nih.gov/pubmed/21672959 http://dx.doi.org/10.1093/nar/gkr437 |
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