Trends in Kinase Selectivity: Insights for Target Class-Focused Library Screening
Shana Posy, Mark A. Hermsmeier, Wayne D. Vaccaro, Karl‐Heinz Ott, Gordon Todderud, Jonathan Lippy, George L. Trainor, Deborah A. Loughney, Stephen R. Johnson
Abstract
Shana Posy, Mark A. Hermsmeier, Wayne D. Vaccaro, Karl‐Heinz Ott, Gordon Todderud, Jonathan Lippy, George L. Trainor, Deborah A. Loughney, Stephen R. Johnson
Abstract
A kinome-wide selectivity screen of >20000 compounds with a rich representation of many structural classes has been completed. Analysis of the selectivity patterns for each class shows that a broad spectrum of structural scaffolds can achieve specificity for many kinase families. Kinase selectivity and potency are inversely correlated, a trend that is also found in a large set of kinase functional data. Although selective and nonselective compounds are mostly similar in their physicochemical characteristics, we identify specific features that are present more frequently in compounds that bind to many kinases. Our results support a scaffold-oriented approach for building compound collections to screen kinase targets.
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A kinome-wide selectivity screen of >20000 compounds with a rich representation of many structural classes has been completed. Analysis of the selectivity patterns for each class shows that a broad spectrum of structural scaffolds can achieve specificity for many kinase families. Kinase selectivity and potency are inversely correlated, a trend that is also found in a large set of kinase functional data. Although selective and nonselective compounds are mostly similar in their physicochemical characteristics, we identify specific features that are present more frequently in compounds that bind to many kinases. Our results support a scaffold-oriented approach for building compound collections to screen kinase targets.
Key concepts: Kinome, Selectivity, Chemistry, Kinase, Computational biology, Structure–activity relationship, Combinatorial chemistry, Class (philosophy)