Diandra Daumiller

This paper introduces EvoBind-multimer, a deep learning framework for designing molecular glues from protein sequences, demonstrating its ability to recruit E3 ligases to oncoproteins and showing context-dependent functionality.

The paper presents SHE, a phylogeny of eukaryotic proteomes based on structural comparisons, revealing a bipartite model of evolution and a framework for model organism selection.

RareFold predicts and designs protein structures with noncanonical amino acids, achieving low-micromolar affinities and no immune activation in organoid models.

This paper introduces EvoBind, an AI method to design cyclic peptides that inhibit HIV-1 membrane fusion, demonstrating potent inhibition of two HIV-1 strains with no toxicity.