MIT professor James J. Collins' work has led to the development of new classes of diagnostics and therapeutics. Collins discusses how collaboration has been central to his research into combining computational predictions with cutting-edge experimental platforms.

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MIT professor James J. Collins discusses how AI and machine learning are accelerating antibiotic discovery and design. His lab has used deep learning to discover halicin, a potent antibiotic effective against multidrug-resistant bacteria, and generative AI to design completely new antibiotics from scratch. Recent work produced compounds like NG1 (targeting drug-resistant gonorrhea) and DN1 (targeting MRSA). Collins co-founded Phare Bio, a nonprofit advancing AI-discovered antibiotics toward clinical development, and received ARPA-H funding to design 15 new pre-clinical antibiotic candidates using generative AI.

3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs