Caleigh M. Azumaya

This paper introduces cryoSHIELDs, tunable peptides that improve cryo-EM sample preparation by modulating the air-water interface, enhancing particle distribution and complex integrity across multiple protein systems.

This study compares two anti-α5β1 antibodies, showing they share ligand-blocking mechanisms but differ in conformational modulation, with implications for therapeutic design.

The paper determines the cryo-EM structure of the holocentric CCAN from Bombyx mori, revealing a self-contained dimer that forms a point-centromere-like architecture and incorporates novel Centromeric Subunit proteins.

This paper develops a machine learning model to predict Trp oxidation risk in antibodies and shows that modulating electrostatic potential reduces oxidation while maintaining binding affinity.