Juno Underhill

This paper designs de novo flavoproteins with controlled excited state dynamics using computational methods and experimental validation.

The paper uses machine learning to predict membrane protein expression from sequence data, achieving high accuracy and guiding protein engineering improvements.

This paper identifies critical receptor-ligand interactions that distinguish varenicline from other nAChR agonists, revealing unique hydrogen bonding interactions essential for its function.