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


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