This project will make further improvements to targeted gene mutagenesis and apply continuous molecular evolution to enhance specific binding of proteins to their respective targets.

This project will train and apply variational autoencoders to i) predict compatibility between protein sequence and structure, and ii) rationalize and predict function of aminoacyl-tRNA synthetases from library sequence data.

This project aims to magnetically label proteins for new electron paramagnetic resonance (EPR) experiments to study a protein’s structure and dynamics at low concentrations and in-cell.

This project will engineer new aminoacyl-tRNA synthetases to genetically encode un-natural amino acids with unusual chemical properties and apply them to produce valuable designer proteins for medicine, biotechnology and synthetic biology.

This project will magnetically label proteins for new electron paramagnetic resonance (EPR) experiments to study a protein’s structure and dynamics at low concentrations and in-cell, and then compute informative models from the measured EPR distances.