Development of an Enzyme Cascade System for the Synthesis of Enantiomerically Pure D-Amino Acids Utilizing Ancestral L-Amino Acid Oxidase.

Enantiomerically pure D-amino acids hold significant potential as precursors for synthesizing various fine chemicals, including peptide-based drugs and other pharmaceuticals. This study focuses on establishing an enzymatic cascade system capable of converting various L-amino acids into their D-isomers. The system integrates four enzymes: ancestral L-amino acid oxidase (AncLAAO-N4), D-amino acid dehydrogenase (DAADH), D-glucose dehydrogenase (GDH), and catalase. AncLAAO-N4 initiates the process by converting L-amino acids to corresponding keto acids, which are then stereo-selectively aminated to D-amino acids by DAADH using NADPH and NH4Cl. Concurrently, any generated H2O2 is decomposed into O2 and H2O by catalase, while GDH regenerates NADPH from D-glucose. Optimization of reaction conditions and substrate concentrations enabled the successful synthesis of five D-amino acids, including a D-Phe derivative, three D-Trp derivatives, and D-phenylglycine, all with high enantiopurity (>99 % ee) at a preparative scale (>100 mg). This system demonstrates a versatile approach for producing a diverse array of D-amino acids.

Definition of an Index Parameter To Screen Highly Functional Enzymes Derived from a Biochemical and Thermodynamic Analysis of Ancestral meso-Diaminopimelate Dehydrogenases.

Sequence-based protein design approaches are being adopted to generate highly functional enzymes; however, screening the enzymes remains a time-consuming task. In this study, by analyzing the enzymatic properties of four ancestral meso-2,6-diaminopimelate dehydrogenases (AncDAPDHs), AncDAPDH-N1, -N2, -N3, and -N4, we attempted to define a new index parameter that is helpful for efficiently screening the enzymes. Biochemical and thermodynamic analyses indicated that only AncDAPDH-N4 exhibited greater thermal stability than and activity similar to those of native DAPDHs. Structural and sequence comparisons between DAPDH from Corynebacterium glutamicum (CgDAPDH) and the AncDAPDHs suggested that "quality of mutations" is a potential index parameter. In fact, the mutations introduced from CgDAPDH to AncDAPDH-N4 correlated highly with the mutations accumulated during the evolution process from mesophiles to thermophiles. These results suggest that, although there are several exceptions, the correlation coefficient can be used as an index parameter for screening high-functioning enzymes from sequence data.

Structural and functional analysis of l-methionine oxidase identified through sequence data mining.

l-Amino acid oxidase (LAAO), an FAD-dependent enzyme, catalyzes the oxidation of l-amino acids (l-AAs) to their corresponding imino acids. While LAAOs, which can oxidize charged or aromatic l-AAs specifically, have been extensively characterized across various species, LAAOs that have high specificity toward alkyl-chain l-AAs, such as l-Met, are hardly characterized for now. In this study, we screened a highly specific l-Met oxidizing LAAOs from Burkholderiales bacterium (BbMetOx) and Undibacterium sp. KW1 (UndMetOx) using sequence similarity network (SSN) analysis. These enzymes displayed an order of magnitude higher specific activity towards l-Met compared to other l-AAs. Enzyme activity assays showed that these LAAOs operate optimally at moderate condition because the optimal pH and Tm values were pH 7.0 and 58-60°C. We determined the crystal structures of wild-type BbMetOx (BbMetOx(WT)) and an inactivated mutant, BbMetOx (K304A), at 2.7 Å and 2.2 Å resolution, respectively. The overall structure of BbMetOx is closely similar to other known LAAOs of which structures were determined. Comparative analysis of the BbMetOx structures revealed significant conformational changes in the catalytic domain, particularly a movement of approximately 8 Å in the Cα atom of residue Y180. Further analysis highlighted four residues, i.e., Y180, M182, F300, and M302, as critical for l-Met recognition, with alanine substitution at these positions resulting in loss of activity. This study not only underscores the utility of SSN for discovering novel LAAOs but also advances our understanding of substrate specificity in this enzyme family.