Engineered proteins form the basis of biologic medicines, yet most candidates fail during development. MIT Tech Review highlights how AI optimizes these protein structures to reduce costly trial-and-error cycles. These tools identify viable candidates faster than traditional synthetic chemistry. This shift lowers the financial barrier for researchers developing complex, targeted therapies.