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. 2005 Jul 1;33(Web Server issue):W226-9.
doi: 10.1093/nar/gki471.

KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sites

Hsien-Da Huang  1 , Tzong-Yi Lee, Shih-Wei Tzeng, Jorng-Tzong Horng
Affiliations

KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sites

Hsien-Da Huang et al. Nucleic Acids Res. .

Abstract

KinasePhos is a novel web server for computationally identifying catalytic kinase-specific phosphorylation sites. The known phosphorylation sites from public domain data sources are categorized by their annotated protein kinases. Based on the profile hidden Markov model, computational models are learned from the kinase-specific groups of the phosphorylation sites. After evaluating the learned models, the model with highest accuracy was selected from each kinase-specific group, for use in a web-based prediction tool for identifying protein phosphorylation sites. Therefore, this work developed a kinase-specific phosphorylation site prediction tool with both high sensitivity and specificity. The prediction tool is freely available at http://KinasePhos.mbc.nctu.edu.tw/.

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Figures

Figure 1
Figure 1
The flow of the proposed scheme.
Figure 2
Figure 2
The KinasePhos web interface.
See this image and copyright information in PMC

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