Description
The advent of AlphaFold revolutionized our understanding of protein structure prediction, delivering atomic-level accuracy for individual proteins. In this talk, I will present our advances in leveraging and extending the capabilities of predictive models like AlphaFold to predict and design functional protein complexes. Our work builds on the structural insights provided by AlphaFold, developing methodologies to predict and design binders directly from sequence data. This approach has led to the creation of EvoBind, a platform capable of designing cyclic peptide binders with sub-nanomolar affinities in a single shot.
