題名: KinasePhos: a Web Tool for Identifying Protein Kinase-Specific Phosphorylation Sites
作者: Hsien-Da Huang;Tzong-Yi Lee;Jorng-Tzong Horng 貢獻者: Department of Bioinformatics
日期: 2005
上傳時間: 2010-03-19T08:24:32Z 出版者: Asia University
摘要: KinasePhos is a novel web server forcomputationally 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/.
