Abstract | ||
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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. |
Year | DOI | Venue |
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2008 | 10.1093/bioinformatics/btn297 | BIOINFORMATICS |
Field | DocType | Volume |
Phosphorylation,Interactome,Biology,c-Raf,MAP2K7,Kinase,Bioinformatics,Genetics,MAPK14,Protein kinase A,Database,Tyrosine kinase | Conference | 24 |
Issue | ISSN | Citations |
16 | 1367-4803 | 9 |
PageRank | References | Authors |
0.86 | 15 | 12 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chia-Ying Yang | 1 | 28 | 1.32 |
Chao-Hui Chang | 2 | 29 | 1.45 |
Ya-Ling Yu | 3 | 9 | 0.86 |
Tsu-Chun Emma Lin | 4 | 9 | 0.86 |
Sheng-An Lee | 5 | 111 | 4.77 |
Chueh-Chuan Yen | 6 | 9 | 0.86 |
Jinn-moon Yang | 7 | 364 | 35.89 |
Jinmei Lai | 8 | 145 | 20.38 |
Yi-Ren Hong | 9 | 9 | 0.86 |
Tzu-Ling Tseng | 10 | 9 | 0.86 |
Kun-mao Chao | 11 | 838 | 94.05 |
Chi-Ying F Huang | 12 | 204 | 12.95 |