Rational hinge engineering of carboxylic acid reductase from Mycobacterium smegmatis enhances its catalytic efficiency in biocatalysis

Through virtual saturation mutagenesis and rational design for superior substrate conversion in engineered d-amino acid oxidase

The d-amino acid oxidase (DAAO) is pivotal in obtaining optically pure l-glufosinate (l-PPT) by converting d-glufosinate (d-PPT) to its deamination product. We screened and designed a Rasamsonia emersonii DAAO (ReDAAO), making it more suitable for oxidizing d-PPT. Using Caver 3.0, we delineated three substrate binding pockets and, via alanine scanning, identified nearby key residues. Pinpointing key residues influencing activity, we applied virtual saturation mutagenesis (VSM), and experimentally validated mutants which reduced substrate binding energy. Analysis of positive mutants revealed elongated side-chain prevalence in substrate binding pocket periphery. Although computer-aided approaches can rapidly identify advantageous mutants and guide further design, the mutations obtained in the first round may not be suitable for combination with other advantageous mutations. Therefore, each round of combination requires reasonable iteration. Employing VSM-assisted screening multiple times and after four rounds of combining mutations, we ultimately obtained a mutant, N53V/F57Q/V94R/V242R, resulting in a mutant with a 5097% increase in enzyme activity compared to the wild type. It provides valuable insights into the structural determinants of enzyme activity and introduces a novel rational design procedure.

Engineering carboxylic acid reductases and unspecific peroxygenases for flavor and fragrance biosynthesis

Emerging consumer demand for safer, more sustainable flavors and fragrances has created new challenges for the industry. Enzymatic syntheses represent a promising green production route, but the broad application requires engineering advancements for expanded diversity, improved selectivity, and enhanced stability to be cost-competitive with current methods. This review discusses recent advances and future outlooks for enzyme engineering in this field. We focus on carboxylic acid reductases (CARs) and unspecific peroxygenases (UPOs) that enable selective productions of complex flavor and fragrance molecules. Both enzyme types consist of natural variants with attractive characteristics for biocatalytic applications. Applying protein engineering methods, including rational design and directed evolution in concert with computational modeling, present excellent examples for property improvements to unleash the full potential of enzymes in the biosynthesis of value-added chemicals.

Development of a Thermodynamically Favorable Multi-enzyme Cascade Reaction for Efficient Sustainable Production of ω-Amino Fatty Acids and α,ω-Diamines

Aliphatic ω-amino fatty acids (ω-AFAs) and α,ω-diamines (α,ω-DMs) are essential monomers for the production of nylons. Development of a sustainable biosynthesis route for ω-AFAs and α,ω-DMs is crucial in addressing the challenges posed by climate change. Herein, we constructed an unprecedented thermodynamically favorable multi-enzyme cascade (TherFavMEC) for the efficient sustainable biosynthesis of ω-AFAs and α,ω-DMs from cheap α,ω-dicarboxylic acids (α,ω-DAs). This TherFavMEC was developed by incorporating bioretrosynthesis analysis tools, reaction Gibbs free energy calculations, thermodynamic equilibrium shift strategies and cofactor (NADPH&ATP) regeneration systems. The molar yield of 6-aminohexanoic acid (6-ACA) from adipic acid (AA) was 92.3 %, while the molar yield from 6-ACA to 1,6-hexanediamine (1,6-HMD) was 96.1 %, which were significantly higher than those of previously reported routes. Furthermore, the biosynthesis of ω-AFAs and α,ω-DMs from 20.0 mM α,ω-DAs (C6-C9) was also performed, giving 11.2 mM 1,6-HMD (56.0 % yield), 14.8 mM 1,7-heptanediamine (74.0 % yield), 17.4 mM 1,8-octanediamine (87.0 % yield), and 19.7 mM 1,9-nonanediamine (98.5 % yield), respectively. The titers of 1,9-nonanediamine, 1,8-octanediamine, 1,7-heptanediamine and 1,6-HMD were improved by 328-fold, 1740-fold, 87-fold and 3.8-fold compared to previous work. Therefore, this work holds great potential for the bioproduction of ω-AFAs and α,ω-DMs.

Virtual screening of carboxylic acid reductases for biocatalytic synthesis of 6-aminocaproic acid and 1,6-hexamethylenediamine

The key precursors for nylon synthesis, that is, 6-aminocaproic acid (6-ACA) and 1,6-hexamethylenediamine (HMD), are produced from petroleum-based feedstocks. A sustainable biocatalytic alternative method from bio-based adipic acid has been demonstrated recently. However, the low efficiency and specificity of carboxylic acid reductases (CARs) used in the process hampers its further application. Herein, we describe a highly accurate protein structure prediction-based virtual screening method for the discovery of new CARs, which relies on near attack conformation frequency and the Rosetta Energy Score. Through virtual screening and functional detection, five new CARs were selected, each with a broad substrate scope and the highest activities toward various di- and ω-aminated carboxylic acids. Compared with the reported CARs, KiCAR was highly specific with regard to adipic acid without detectable activity to 6-ACA, indicating a potential for 6-ACA biosynthesis. In addition, MabCAR3 had a lower K_m with regard to 6-ACA than the previously validated CAR MAB4714, resulting in twice conversion in the enzymatic cascade synthesis of HMD. The present work highlights the use of structure-based virtual screening for the rapid discovery of pertinent new biocatalysts.