University of Virginia researchers unveiled YuelDesign, YuelPocket and YuelBond, a set of AI tools that use diffusion models to generate drug-like molecules tailored to specific protein targets. The approach explicitly accounts for protein flexibility during binding, aiming to speed the earliest stages of molecule design and evaluation. If the results translate broadly, it could shorten cycles from target selection to candidate triage by improving how conformational “fit” is represented computationally.