PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites

PHOSIDA , a phosphorylation site database, integrates thousands of high-confidence in vivo phosphosites identified by mass spectrometry-based proteomics in various species. For each phosphosite, PHOSIDA lists matching kinase motifs, predicted secondary structures, conservation patterns, and its dyna...

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Detalles Bibliográficos
Autores principales: Gnad, Florian, Ren, Shubin, Cox, Juergen, Olsen, Jesper V, Macek, Boris, Oroshi, Mario, Mann, Matthias
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258193/
https://www.ncbi.nlm.nih.gov/pubmed/18039369
http://dx.doi.org/10.1186/gb-2007-8-11-r250
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author Gnad, Florian
Ren, Shubin
Cox, Juergen
Olsen, Jesper V
Macek, Boris
Oroshi, Mario
Mann, Matthias
author_facet Gnad, Florian
Ren, Shubin
Cox, Juergen
Olsen, Jesper V
Macek, Boris
Oroshi, Mario
Mann, Matthias
author_sort Gnad, Florian
collection PubMed
description PHOSIDA , a phosphorylation site database, integrates thousands of high-confidence in vivo phosphosites identified by mass spectrometry-based proteomics in various species. For each phosphosite, PHOSIDA lists matching kinase motifs, predicted secondary structures, conservation patterns, and its dynamic regulation upon stimulus. Using support vector machines, PHOSIDA also predicts phosphosites.
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spelling pubmed-22581932008-02-28 PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites Gnad, Florian Ren, Shubin Cox, Juergen Olsen, Jesper V Macek, Boris Oroshi, Mario Mann, Matthias Genome Biol Software PHOSIDA , a phosphorylation site database, integrates thousands of high-confidence in vivo phosphosites identified by mass spectrometry-based proteomics in various species. For each phosphosite, PHOSIDA lists matching kinase motifs, predicted secondary structures, conservation patterns, and its dynamic regulation upon stimulus. Using support vector machines, PHOSIDA also predicts phosphosites. BioMed Central 2007 2007-11-26 /pmc/articles/PMC2258193/ /pubmed/18039369 http://dx.doi.org/10.1186/gb-2007-8-11-r250 Text en Copyright © 2007 Gnad et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Gnad, Florian
Ren, Shubin
Cox, Juergen
Olsen, Jesper V
Macek, Boris
Oroshi, Mario
Mann, Matthias
PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites
title PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites
title_full PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites
title_fullStr PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites
title_full_unstemmed PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites
title_short PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites
title_sort phosida (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258193/
https://www.ncbi.nlm.nih.gov/pubmed/18039369
http://dx.doi.org/10.1186/gb-2007-8-11-r250
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