Article

Integrating computational chemistry and machine learning to predict KRAS mutation-induced resistance

2026-04-11

Abstract excerpt

Mutation-induced drug resistance is a major contributor to the failure of targeted cancer therapies, particularly in tumors driven by mutations in the KRAS oncogene. Although covalent inhibitors effectively target KRAS G12C, secondary mutations such as G12C/Y96C, G12C/Y96S, and G12C/Y96D lead to resistance despite leaving the covalent attachment site intact. To predict these resistance outcomes, we developed a com...

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Literature Corpus work: cc2f2833-2c58-5e3b-a5a8-b85c50e6ce57
DOI: 10.64898/2026.04.10.717640

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