Peng Liu

This study identifies new photobiocatalytic C-C couplings by combining PLP enzymes with photocatalysts, enabling the synthesis of non-canonical amino acids through directed evolution.

This paper develops engineered PLP-dependent biocatalysts for stereodivergent synthesis of non-canonical amino acids with complex stereochemical arrays, achieving high stereoselectivity and yield.

This paper introduces AlphaProtein Novo, a machine-learning pipeline for de novo enzyme design that outperforms natural sequence mining in creating enzymes for new-to-nature chemistry and substrates.

This study combines design and evolution to create new-to-nature enzymes capable of performing regio- and enantioselective C-H amination reactions for synthesizing chiral piperidines.

This paper introduces a photobiocatalytic three-component radical coupling method that enables the stereoselective assembly of congested stereocenters using evolved biocatalysts and photosensitizers.

This study reprograms binuclear copper enzymes to catalyze enantioselective radical (pseudo)halogenation reactions, demonstrating superior activity and selectivity compared to nonheme Fe enzymes.

This study identifies features contributing to catalytic efficiency in a de novo enzyme through computational design and directed evolution, showing how stability and dynamics interplay in enzyme optimization.

This paper develops a photometallobiocatalytic method for enantioselective C-C cross-coupling of pyridotriazoles and alkyltrifluoroborate salts using a photosensitizer and engineered protoglobin.

This paper compares experimental and computational studies of EgtB and ACCO to understand how their coordination sphere affects anion rebound selectivity in nonheme Fe enzyme-catalyzed C(sp3)-H functionalization.

This paper develops a biocatalytic method using engineered PLP enzymes to selectively synthesize L- and D-amino acids from alkyl radicals.

This paper designs and evolves de novo helical bundle proteins to catalyze enantioselective Ge-H insertion, showing improved efficiency and selectivity through computational analysis and directed evolution.