Their abstract: Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative models | bioRxiv There has been considerable recent progress in designing new proteins using deep learning methods1–9. Despite this progress, a general deep learning framework for protein design that enables solution of a wide range of design challenges, including … Continue reading “Generative” protein folding? →