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

被引：374

作者：

Gnad, Florian ^{[1
]}

Ren, Shubin ^{[1
]}

Cox, Juergen ^{[1
]}

Olsen, Jesper V. ^{[1
]}

Macek, Boris ^{[1
]}

Oroshi, Mario ^{[1
]}

Mann, Matthias ^{[1
]}

机构：

[1] Max Planck Inst Biochem, Dept Prote & Signal Transduct, D-82152 Martinsried, Germany

来源：

GENOME BIOLOGY | 2007年 / 8卷 / 11期

关键词：

D O I：

10.1186/gb-2007-8-11-r250

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

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.

引用

页数：13

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