Engineered proteins form the basis of biologic medicines, but traditional development is slow and costly. New AI tools now predict protein structures and interactions to identify viable candidates faster. MIT Tech Review highlights how these models reduce failure rates in early discovery. This shift cuts R&D timelines for researchers targeting complex diseases.