TU Graz's AI-powered blueprint for custom proteins
TU Graz researchers just unveiled a computational framework from their HelixMold project that combines parametric design and AI to build custom proteins from scratch. The system generates thousands of backbone variations and deploys dedicated machine learning models to vet flexible loop regions. Why it matters: It pushes protein engineering away from tweaking natural molecules toward on-demand catalyst design for drugs and bioplastics.