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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...

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Detalles Bibliográficos
Autores principales: Lopez, Gonzalo, Maietta, Paolo, Rodriguez, Jose Manuel, Valencia, Alfonso, Tress, Michael L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
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.
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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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