Machine learning toolkit can improve odds of drug development success

Researchers at the Southwest Research Institute built a generative tool called GAMES that uses large language models to design and rank chemical structures. The program models candidate molecules after properties found in approved drugs to reduce issues with toxicity and solubility. Chemists can use these recommendations to find viable drug leads while checking local chemical supply chains for needed precursors.

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