Journal of Biological Chemistry · 2013 · 19 citations · 37 references
MedicineMedicinal ChemistryPharmacologyCell SignalingDrug DiscoverySignal TransductionDrug-receptor InteractionsEnzyme InhibitionLigand BindingReceptor-ligand InteractionsTyrosine Kinase InhibitorsDual-target InhibitorsExtracellular Signal-regulated Kinase PathwayExtracellular Signal-regulated Kinase SignalingInsulin-like Growth Factor-1Kinase InhibitorsMap KinasesProtein Kinase InhibitorsSelective Tyrosine Kinase Inhibitors
Dual inhibitors of the closely related receptor tyrosine kinases insulin-like growth factor 1 receptor (IGF-1R) and insulin receptor (IR) are promising therapeutic agents in cancer. Here, we report an unusually selective class of dual inhibitors of IGF-1R and IR identified in a parallel screen of known kinase inhibitors against a panel of 300 human protein kinases. Biochemical and structural studies indicate that this class achieves its high selectivity by binding to the ATP-binding pocket of inactive, unphosphorylated IGF-1R/IR and stabilizing the activation loop in a native-like inactive conformation. One member of this compound family was originally reported as an inhibitor of the serine/threonine kinase ERK, a kinase that is distinct in the structure of its unphosphorylated/inactive form from IR/IGF-1R. Remarkably, this compound binds to the ATP-binding pocket of ERK in an entirely different conformation to that of IGF-1R/IR, explaining the potency against these two structurally distinct kinase families. These findings suggest a novel approach to polypharmacology in which two or more unrelated kinases are inhibited by a single compound that targets different conformations of each target kinase. Background: IR/IGF-1R kinase inhibitors are promising therapeutic agents in cancer. Results: Irfin1, a compound closely related to the ERK inhibitor FR180204, inhibits IR/IGF-1R family kinases. Conclusion: Irfin1 is a remarkably selective inhibitor for the inactive states of IR/IGF-1R kinases. Significance: Broad spectrum kinase inhibitor profiling can be exploited to uncover novel targets of small-molecule compounds.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
NIH Image to ImageJ: 25 years of image analysis
Caroline A Schneider, Wayne Rasband, Kevin W. Eliceiri · Nature Methods · 2012 · 65.2K citations