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

Florian Gnad; Shubin Ren; Juergen Cox; Jesper Velgaard Olsen; Boris Macek; Mario Oroshi; Matthias Mann

doi:10.1186/gb-2007-8-11-r250

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

Florian Gnad, Shubin Ren, Juergen Cox, Jesper Velgaard Olsen, Boris Macek, Mario Oroshi, Matthias Mann

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

413 Citationer (Scopus)

Abstract

Udgivelsesdato: 2007-null

Originalsprog	Engelsk
Tidsskrift	Genome Biology
Vol/bind	8
Udgave nummer	11
Sider (fra-til)	R250
ISSN	1465-6906
DOI	https://doi.org/10.1186/gb-2007-8-11-r250
Status	Udgivet - 2007
Udgivet eksternt	Ja

Bibliografisk note

Keywords: Databases, Protein; Evolution; Phosphoproteins; Phosphorylation; Proteome; Software

Adgang til dokumentet

10.1186/gb-2007-8-11-r250

Citationsformater

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

abstract = "PHOSIDA http://www.phosida.com, 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.",

author = "Florian Gnad and Shubin Ren and Juergen Cox and Olsen, {Jesper Velgaard} and Boris Macek and Mario Oroshi and Matthias Mann",

note = "Keywords: Databases, Protein; Evolution; Phosphoproteins; Phosphorylation; Proteome; Software",

year = "2007",

doi = "10.1186/gb-2007-8-11-r250",

language = "English",

volume = "8",

pages = "R250",

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TY - JOUR

T1 - PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites

AU - Gnad, Florian

AU - Ren, Shubin

AU - Cox, Juergen

AU - Olsen, Jesper Velgaard

AU - Macek, Boris

AU - Oroshi, Mario

AU - Mann, Matthias

N1 - Keywords: Databases, Protein; Evolution; Phosphoproteins; Phosphorylation; Proteome; Software

PY - 2007

Y1 - 2007

N2 - PHOSIDA http://www.phosida.com, 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.

AB - PHOSIDA http://www.phosida.com, 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.

U2 - 10.1186/gb-2007-8-11-r250

DO - 10.1186/gb-2007-8-11-r250

M3 - Journal article

C2 - 18039369

SN - 1465-6906

VL - 8

SP - R250

JO - Genome Biology

JF - Genome Biology

IS - 11

ER -