David E. Kim

The paper designs miniprotein inhibitors of the Staphylococcus aureus efflux transporter NorA and identifies a promising inhibitor with a cryo-EM structure showing its binding mechanism.

The paper describes methods to make a membrane-bound glycosyltransferase water-soluble for easier study and application in synthetic glycobiology.

This paper designs beta barrels and transmembrane nanopores using deep learning and parametric methods, achieving high success rates with experimental validation.

This paper presents computational methods for designing GPCR-binding miniproteins and validates them through high-throughput screening, producing agonists and antagonists for multiple GPCRs.

The paper develops a method to assess solution properties of designed proteins using mass spectrometry and peptide barcoding, enabling analysis of large protein libraries.

This paper introduces WRAPs, designed proteins that solubilize membrane proteins without detergents, enabling structural studies and vaccine development.

The paper predicts SARS-CoV-2 B-cell epitopes using computational methods and validates them with ELISA, finding two antigens with high sensitivity and specificity for serological diagnosis of COVID-19.