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Matching genetically defined cancer states to drugs that specifically target these states is a principal goal of personalized oncology medicine. In this issue, McMillan et al. show how large-scale chemical screening coupled to deep molecular profiling can identify mechanistically diverse druggable vulnerabilities for genetic subtypes of lung cancers.
Advances in the synthesis and screening of small-molecule libraries have accelerated the discovery of chemical probes for studying biological processes. Still, only a small fraction of the human proteome has chemical ligands. Here, we describe a platform that marries fragment-based ligand discovery with quantitative chemical proteomics to map thousands of reversible small molecule-protein interactions...
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