標題: | PhosphoPOINT: a comprehensive human kinase interactome and phospho-protein database |
作者: | Yang, Chia-Ying Chang, Chao-Hui Yu, Ya-Ling Lin, Tsu-Chun Emma Lee, Sheng-An Yen, Chueh-Chuan Yang, Jinn-Moon Lai, Jin-Mei Hong, Yi-Ren Tseng, Tzu-Ling Chao, Kun-Mao Huang, Chi-Ying F. 生物資訊及系統生物研究所 Institude of Bioinformatics and Systems Biology |
公開日期: | 15-八月-2008 |
摘要: | Motivation: To fully understand how a protein kinase regulates biological processes, it is imperative to first identify its substrate(s) and interacting protein(s). However, of the 518 known human serine/threonine/tyrosine kinases, 35 of these have known substrates, while 14 of the kinases have identified substrate recognition motifs. In contrast, 85 of the kinases have protein-protein interaction (PPI) datasets, raising the possibility that we might reveal potential kinase-substrate pairs from these PPIs. Results: PhosphoPOINT, a comprehensive human kinase interactome and phospho-protein database, is a collection of 4195 phospho-proteins with a total of 15 738 phosphorylation sites. PhosphoPOINT annotates the interactions among kinases, with their down-stream substrates and with interacting (phospho)-proteins to modulate the kinase-substrate pairs. PhosphoPOINT implements various gene expression profiles and Gene Ontology cellular component information to evaluate each kinase and their interacting (phospho)-proteins/substrates. Integration of cSNPs that cause amino acids change with the proteins with the phosphoprotein dataset reveals that 64 phosphorylation sites result in a disease phenotypes when changed; the linked phenotypes include schizophrenia and hypertension. PhosphoPOINT also provides a search function for all phospho-peptides using about 300 known kinase/phosphatase substrate/binding motifs. Altogether, PhosphoPOINT provides robust annotation for kinases, their downstream substrates and their interaction (phospho)-proteins and this should accelerate the functional characterization of kinomemediated signaling. |
URI: | http://dx.doi.org/10.1093/bioinformatics/btn297 http://hdl.handle.net/11536/29053 |
ISSN: | 1367-4803 |
DOI: | 10.1093/bioinformatics/btn297 |
期刊: | BIOINFORMATICS |
Volume: | 24 |
Issue: | 16 |
起始頁: | I14 |
結束頁: | I20 |
顯示於類別: | 會議論文 |