Vanderbilt Chemists Build AI Tool That Turns Human Ingenuity into Better Enzymes

Zhongyue (John) Yang, assistant professor of chemistry at Vanderbilt University, and his former doctoral student Qianzhen Shao—now a postdoctoral researcher at Stanford—have developed an AI tool designed not to replace scientists, but to amplify their creativity. The tool focuses on enzyme engineering, a field where human intuition has long guided the design of proteins that speed up chemical reactions for medicines, biofuels, and everyday products. By combining machine learning with human insight, the system helps researchers explore enzyme mutations more efficiently, potentially leading to life-enhancing applications. The work addresses a growing concern that AI will displace expert jobs, instead positioning the technology as a collaborator that handles complex data while humans set the direction. With the global enzyme market expected to exceed $10 billion by 2027, tools that accelerate discovery could have wide commercial and societal impact. As Yang and Shao continue refining their approach, the next step is to test the AI tool on real-world enzyme engineering challenges, where even small improvements can mean faster drug production or greener industrial processes.