AI Method Boosts Enzyme Evolution for Therapeutic Applications

A new research workflow utilizes artificial intelligence to redesign protein sequences, thereby enhancing the efficiency of automated enzyme evolution. Published in Nature, this AI-driven approach, incorporating models such as ProteinMPNN and PROSS, addresses common stability-activity compromises in enzymes. The development holds promise for creating novel, custom-designed therapeutic enzymes.