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Kinase inhibitors are important cancer therapeutics. Polypharmacology is commonly observed, requiring thorough target deconvolution to understand drug mechanism of action. Using chemical proteomics, we analyzed the target spectrum of 243 clinically evaluated kinase drugs. The data revealed previously unknown targets for established drugs, offered a perspective on the "druggable" kinome, highlighted (non)kinase off-targets, and suggested potential therapeutic applications. Integration of phosphoproteomic data refined drug-affected pathways, identified response markers, and strengthened rationale for combination treatments. We exemplify translational value by discovering SIK2 (salt-inducible kinase 2) inhibitors that modulate cytokine production in primary cells, by identifying drugs against the lung cancer survival marker MELK (maternal embryonic leucine zipper kinase), and by repurposing cabozantinib to treat FLT3-ITD-positive acute myeloid leukemia. This resource, available via the ProteomicsDB database, should facilitate basic, clinical, and drug discovery research and aid clinical decision-making.


I’ve been meaning to link to this article, which is the best overview I know of for kinase inhibitors. The authors (a large multicenter team led out of Munich) characterize 243 (!) kinase inhibitors that have made it into human trials across a very wide...
With over 500 proteins encoded in the human genome it is perhaps not surprising that among enzyme inhibitors, Kinase inhibitors are an increasingly important therapeutic category. The plot below the number of results returned for various string searches of...