Computational design of autoinhibitory domains for a protease-activated PD-L1 antagonist

Presented by Odessa Goudy on September 13th 2023
Abstract:
We present a panel of protease-activated PD-L1 antagonists that use autoinhibitory domains from either optimized natural proteins or computationally engineered binders using Rosetta and EvoPro, a novel deep-learning based method that iterates across structure prediction and sequence design.