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Nucleic Acids Research 2005 33(Web Server Issue):W226-W229; doi:10.1093/nar/gki471
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© The Author 2005. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oupjournals.org

Article

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

Hsien-Da Huang*, Tzong-Yi Lee, Shih-Wei Tzeng1 and Jorng-Tzong Horng1,2

Department of Biological Science and Technology, Institute of Bioinformatics, National Chiao Tung University Hsin-Chu 300, Taiwan 1Department of Life Science, National Central University Chung-Li 320, Taiwan 2Department of Computer Science and Information Engineering, National Central University Chung-Li 320, Taiwan

*To whom correspondence should be addressed. Tel: +886 3 5712121, ext. 56952; Fax: +886 3 5729288; Email: bryan{at}mail.nctu.edu.tw

Received February 13, 2005. Revised April 15, 2005. Accepted April 15, 2005.

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/.

Correspondence may also be addressed to Jorng-Tzong Horng. Tel: +886 3 4227151, ext. 35307; Fax: +886 3 4222681; Email: horng{at}db.csie.ncu.edu.tw


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