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Computational prediction of eukaryotic phosphorylation sites
Author(s) -
Brett Trost,
Anthony Kusalik
Publication year - 2011
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/btr525
Subject(s) - phosphorylation , kinase , computational biology , protein phosphorylation , mechanism (biology) , resource (disambiguation) , sequence (biology) , posttranslational modification , biology , computer science , bioinformatics , protein kinase a , biochemistry , enzyme , computer network , philosophy , epistemology
Kinase-mediated phosphorylation is the central mechanism of post-translational modification to regulate cellular responses and phenotypes. Signaling defects associated with protein phosphorylation are linked to many diseases, particularly cancer. Characterizing protein kinases and their substrates enhances our ability to understand and treat such diseases and broadens our knowledge of signaling networks in general. While most or all protein kinases have been identified in well-studied eukaryotes, the sites that they phosphorylate have been only partially elucidated. Experimental methods for identifying phosphorylation sites are resource intensive, so the ability to computationally predict potential sites has considerable value.

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