Cell Biomaterials Review (April 16): AI-Driven Antibiotic Discovery Across Predictive + Generative Strategies for Small Molecules and Peptides
A Cell Biomaterials review published April 16 maps the AI-driven antibiotic-discovery landscape across two strategy families: mining (using discriminative models on genomic/proteomic sequence libraries) and generation (using diffusion and language models to design novel synthetic peptides exceeding nature's repertoire). Companion work flagged in the review includes the University of Pennsylvania AMP-Diffusion system, which produced tens of thousands of candidate peptides — 46 prioritized, three quarters bacterial-inhibitory, and two with in vivo efficacy matching approved antibiotics in mouse infection models.