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Abstract Though 100 kinase inhibitors are approved for clinical use, most kinases in the genome remain poorly characterized. Moreover, though kinase inhibitors have revolutionized the care of selected cancers, most others respond transiently or not at all to these drugs, typically directed against signal-transduction pathways. Given cellular regulation at every step by phosphorylation events, we hypothesized that phenotypic screening and machine-learning analysis can reveal novel kinase targets.
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