Anthony P. Green

This paper designs enantioselective photoenzymes using deep learning methods to precisely position a photosensitizer and substrate, achieving high stereocontrol and regiocontrol.

This paper introduces multistate enzyme design to optimize active sites across reaction coordinates, achieving higher catalytic efficiency and enantioselectivity than single-state designs.

This paper designs and tests hyper-thermostable CO2 reductases with cobalt porphyrin cofactors, achieving high activity and suppressing competing reactions.

The paper improves orthogonal translation in yeast by enhancing a pyrrolysyl-tRNA synthetase system and identifies ribosomal protein deletions that increase non-canonical amino acid incorporation.

The paper investigates structural models of the POR-Pchlide-NADPH ternary complex and proposes an alternative model based on mutagenesis and computational analysis, identifying key residues involved in catalysis.