Prediction of kinase-specific phosphorylation sites with sequence features by a log-odds ratio approach.

Prediction of kinase-specific phosphorylation sites with sequence features by a log-odds ratio approach. Research Abstract Details 

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Prediction of kinase-specific phosphorylation sites with sequence features by a log-odds ratio approach. Abstract Text:

Tingting Li,Fei Li,Xuegong Zhang,Tingting Li,Fei Li,Xuegong Zhang,Tingting Li,Fei Li,Xuegong Zhang,

Protein phosphorylation plays important roles in a variety of cellular processes. Detecting possible phosphorylation sites and their corresponding protein kinases is crucial for studying the function of many proteins. This article presents a new prediction system, called PhoScan, to predict phosphorylation sites in a kinase-family-specific way. Common phosphorylation features and kinase-specific features are extracted from substrate sequences of different protein kinases based on the analysis of published experiments, and a scoring system is developed for evaluating the possibility that a peptide can be phosphorylated by the protein kinase at the specific site in its sequence context. PhoScan can achieve a specificity of above 90% with sensitivity around 90% at kinase-family level on the data experimented. The system is applied on a set of human proteins collected from Swiss-Prot and sets of putative phosphorylation sites are predicted for protein kinase A, cyclin-dependent kinase, and casein kinase 2 families. PhoScan is available at http://bioinfo.au.tsinghua.edu.cn/phoscan/.

Prediction of kinase-specific phosphorylation sites with sequence features by a log-odds ratio approach. Publishing Authors By Initials

T Li,F Li,X Zhang,T Li,F Li,X Zhang,T Li,F Li,X Zhang,

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Prediction of kinase-specific phosphorylation sites with sequence features by a log-odds ratio approach. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Proteins

VOLUME: 70

Page Numbers: 404-14

Journal Abbreviation: Proteins

ISSN: 1097-0134

DAY: 1

MONTH: Feb

YEAR: 2008

Prediction of kinase-specific phosphorylation sites with sequence features by a log-odds ratio approach. Information

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LANGUAGE: eng

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Grant and Affiliation Information for Prediction of kinase-specific phosphorylation sites with sequence features by a log-odds ratio approach.

AFFILIATION: Bioinformatics Division, TNLIST and Department of Automation, Tsinghua University, Beijing 100084, China.

Country: United States

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MEDLINETA: Proteins

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