Researchers at the University of Pennsylvania employed artificial intelligence to analyze vast venom protein libraries and discover novel antimicrobial peptides with potent activity against multidrug-resistant bacteria. Venoms, evolved over millions of years to breach biological defenses, represent a rich but underexploited resource for antibiotic development. The AI-guided approach addresses the challenge of combinatorial complexity in venom compositions, accelerating drug lead identification. These venom-derived compounds exhibit fast, specific bactericidal effects and hold promise in the fight against antibiotic resistance.