Matthew Edwin Call

This paper identifies shared and distinct sequence-function signatures for different modes of hTpoR activation using deep mutational scanning and AlphaFold 3 modeling.

This paper introduces TMDiffusion, a deep learning model for designing membrane proteins, achieving high experimental success and accurate structural predictions.

The paper uses Deep Mutational Scanning to analyze SARS-CoV-2 PLpro mutations, identifying functional residues and drug-escape variants.

The paper designs transmembrane domains to control receptor function, showing that oligomeric state affects CAR T cell activity and cytokine release.