AI-designed antibodies target antigens with atomic precision
Epitope-binding proteins designed from scratch by generative AI model
A new AI-guided process designs antibodies from scratch. The method relies on the RFdiffusion model developed in the lab of 2024 Nobel prize-winner David Baker, and produces new antibodies that target specific antigen sites with atomic-level precision. The approach could one day accelerate the discovery of new antibody-based medicines.