Near-infrared light-driven asymmetric photolytic reduction of ketone using inorganic-enzyme hybrid biocatalyst.

Effective photolytic regeneration of the NAD(P)H cofactor in enzymatic reductions is an important and elusive goal in biocatalysis. It can, in principle, be achieved using a near-infrared light (NIR) driven artificial photosynthesis system employing H2O as the sacrificial reductant. To this end we utilized TiO2/reduced graphene quantum dots (r-GQDs), combined with a novel rhodium electron mediator, to continuously supply NADPH in situ for aldo-keto reductase (AKR) mediated asymmetric reductions under NIR irradiation. This upconversion system, in which the Ti-O-C bonds formed between r-GQDs and TiO2 enabled efficient interfacial charge transfer, was able to regenerate NADPH efficiently in 64 % yield in 105 min. Based on this, the pharmaceutical intermediate (R)-1-(3,5-bis(trifluoromethyl)phenyl)ethan-1-ol was obtained, in 84 % yield and 99.98 % ee, by reduction of the corresponding ketone. The photo-enzymatic system is recyclable with a polymeric electron mediator, which maintained 66 % of its original catalytic efficiency and excellent enantioselectivity (99.9 % ee) after 6 cycles.

Specific residues and conformational plasticity define the substrate specificity of short-chain dehydrogenases/reductases.

Short-chain dehydrogenases/reductases (SDRs) are one of the most prevalent enzyme families distributed among the sequenced microorganisms. Despite the presence of a conserved catalytic tetrad and high structural similarity, these enzymes exhibit different substrate specificities. The insufficient knowledge regarding the amino acids underlying substrate specificity hinders the understanding of the SDRs' roles in diverse and significant biological processes. Here, we performed bioinformatic analysis, molecular modeling, and mutagenesis studies to identify the key residues that regulate the substrate specificities of two homologous microbial SDRs (i.e., DesE and KduD). Further, we investigated the impact of altering the physicochemical properties of these amino acids on enzyme activity. Interestingly, molecular dynamics simulations also suggest a critical role of enzyme conformational flexibility in substrate recognition and catalysis. Overall, our findings improve the understanding of microbial SDR substrate specificity and shed light on future rational design of more efficient and effective biocatalysts.