Computational Protein Design and De Novo Design of Proteins

Explore cutting-edge computational approaches for predicting and designing protein function in this 1 hour 35 minute lecture from the Broad Institute's Models, Inference and Algorithms series. Delve into novel methodological frameworks for learning surface patterns in protein structures to decipher molecular interactions. Discover computational strategies for exploring de novo protein topologies, addressing challenges in protein design related to the lack of optimal structural templates. Gain insights into how these approaches expand beyond known protein structural space, presenting new paradigms for rational design of functional proteins. Learn about important applications of computationally designed proteins in vaccine design, T cell-based therapies, biosensors, and synthetic biology. Understand how computational protein design is revolutionizing rational protein engineering, moving beyond structural accuracy to focus on creating proteins with specific functions.

MIA: Bruno Correia, Computational protein design; Primer: Casper Goverde, De novo design of proteins