Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: http://www.phosida.com/
Full name: phosphorylation site database
Description: Phosida allows the retrieval of phosphorylation, acetylation, and N-glycosylation data of any protein of interest. It lists posttranslational modification sites associated with particular projects and proteomes or, alternatively, displays posttranslational modifications found for any protein or protein group of interest. In addition, structural and evolutionary information on each modified protein and posttranslational modification site is integrated.
Year founded: 2007
Last update: 2012-5-25
Version: v1.0
Accessibility:
Manual:
Accessible
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Country/Region: Germany

Contact information

University/Institution: Max Planck Institute of Biochemistry
Address: Am Klopferspitz 18, D-82152 Martinsried, Germany
City: Martinsried
Province/State:
Country/Region: Germany
Contact name (PI/Team): Matthias Mann
Contact email (PI/Helpdesk): mmann@biochem.mpg.de

Publications

21081558
PHOSIDA 2011: the posttranslational modification database. [PMID: 21081558]
Gnad F, Gunawardena J, Mann M.

The primary purpose of PHOSIDA (http://www.phosida.com) is to manage posttranslational modification sites of various species ranging from bacteria to human. Since its last report, PHOSIDA has grown significantly in size and evolved in scope. It comprises more than 80,000 phosphorylated, N-glycosylated or acetylated sites from nine different species. All sites are obtained from high-resolution mass spectrometric data using the same stringent quality criteria. One of the main distinguishing features of PHOSIDA is the provision of a wide range of analysis tools. PHOSIDA is comprised of three main components: the database environment, the prediction platform and the toolkit section. The database environment integrates and combines high-resolution proteomic data with multiple annotations. High-accuracy species-specific phosphorylation and acetylation site predictors, trained on the modification sites contained in PHOSIDA, allow the in silico determination of modified sites on any protein on the basis of the primary sequence. The toolkit section contains methods that search for sequence motif matches or identify de novo consensus, sequences from large scale data sets.

Nucleic Acids Res. 2011:39(Database issue) | 246 Citations (from Europe PMC, 2024-04-20)
18039369
PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites. [PMID: 18039369]
Gnad F, Ren S, Cox J, Olsen JV, Macek B, Oroshi M, Mann M.

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.

Genome Biol. 2007:8(11) | 308 Citations (from Europe PMC, 2024-04-20)

Ranking

All databases:
344/6000 (94.283%)
Modification:
20/287 (93.38%)
344
Total Rank
553
Citations
32.529
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Record metadata

Created on: 2015-06-20
Curated by:
Lina Ma [2018-11-23]
Zhang Zhang [2016-05-08]
Shixiang Sun [2016-04-14]
Shixiang Sun [2016-03-25]
Shixiang Sun [2015-11-21]
Shixiang Sun [2015-06-26]