標題: KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sites
作者: Huang, HD
Lee, TY
Tzeng, SW
Horng, JT
生物資訊及系統生物研究所
Institude of Bioinformatics and Systems Biology
公開日期: 1-七月-2005
摘要: 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/.
URI: http://dx.doi.org/10.1093/nar/gki471
http://hdl.handle.net/11536/13528
ISSN: 0305-1048
DOI: 10.1093/nar/gki471
期刊: NUCLEIC ACIDS RESEARCH
Volume: 33
Issue: 
起始頁: W226
結束頁: W229
顯示於類別:期刊論文


文件中的檔案:

  1. 000230271400042.pdf