Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome
Author(s) -
Fuyi Li,
Chen Li,
Tatiana T. MarquezLago,
André Leier,
Tatsuya Akutsu,
Anthony W. Purcell,
A. Ian Smith,
Trevor Lithgow,
Roger J. Daly,
Jiangning Song,
KuoChen Chou
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty522
Subject(s) - uniprot , phosphorylation , kinase , computational biology , proteome , protein phosphorylation , bioinformatics , biology , posttranslational modification , computer science , protein kinase a , microbiology and biotechnology , biochemistry , enzyme , gene
Kinase-regulated phosphorylation is a ubiquitous type of post-translational modification (PTM) in both eukaryotic and prokaryotic cells. Phosphorylation plays fundamental roles in many signalling pathways and biological processes, such as protein degradation and protein-protein interactions. Experimental studies have revealed that signalling defects caused by aberrant phosphorylation are highly associated with a variety of human diseases, especially cancers. In light of this, a number of computational methods aiming to accurately predict protein kinase family-specific or kinase-specific phosphorylation sites have been established, thereby facilitating phosphoproteomic data analysis.
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