Greg L. Hura

This paper presents a modular strategy to design programmable, highly porous protein crystals with tunable architectures and composition, enabling applications in catalysis and biomedicine.

AlphaSAXS uses SAXS data to guide AI in reconstructing accurate protein conformations, improving upon sequence-only models by incorporating experimental constraints.

This paper identifies how Nub1 traps unfolded FAT10 for ubiquitin-independent degradation by the 26S proteasome through a novel mechanism involving structural dynamics and proteasomal engagement.

This paper designs 3D protein crystals with specified lattice architectures using computational methods, achieving atomic accuracy and demonstrating successful experimental validation.

The paper designs binary 2D protein co-assemblies that form ordered, biologically active materials with potential therapeutic applications.