Enzymes for amino acid synthesis by design

Design Glutamate Dehydrogenase for Nonaqueous System by Motifs Reassembly and Interaction Network Analysis

Glutamate dehydrogenases (GDH) serve as the key regulated enzyme that links protein and carbohydrate metabolism. Combined with motif reassembly and mutation, novel GDHs were designed. Motif reassembly of thermophilic GDH and malate dehydrogenase aims to overcome stability and activity tradeoff in nonaqueous systems. Structural compatibility and dynamic cooperation of the designed AaDHs were studied by molecular dynamics simulation. Furthermore, multipoint mutations improved its catalytic activity for unnatural substrates. Amino acid interaction network analysis indicated that the high density of hydrogen-bonded salt bridges is beneficial to the stability. Finally, the experimental verification determines the kinetics of AaDHs in a nonaqueous system. The activity of Aa05 was increased by 1.78-fold with ionic liquid [EMIM]BF4. This study presents the strategy of a combination of rigid motif assembly and mutations of active sites for robust dehydrogenases with high activity in the nonaqueous system, which overcomes the activity-stability tradeoff effect.

Cloning and expression heterologous alanine dehydrogenase genes: Investigation of reductive amination potential of L-alanine dehydrogenases for green synthesis of alanine derivatives

Unnatural amino acids (UAAs) offer significant promise in a wide range of applications, including drug discovery, the custom design of peptides and proteins, and their utility and use as markers for monitoring molecular interactions in biological research. The synthesis of UAAs presents a formidable challenge and can be classified into two primary categories: enzymatic and chemical synthesis. Notably, the enzymatic route, specifically asymmetric synthesis, emerges as a an attractive method for procuring enantiopure UAAs with high efficiency, owing to its streamlined and concise reaction mechanism. The current study investigated the reductive amination activity mechanisms of alanine dehydrogenase (L-AlaDH), sourced from a combination of newly and previously characterized microorganisms. Our principal aim was to evaluate the catalytic efficiency of these L-AlaDH enzymes concerning a range of specific ketoacids and pyruvate to ascertain their capability for facilitating the production of both natural and unnatural amino acids. After the characterization processes, mutation points for TtAlaDH were determined and as a result of the mutations, mutants that could use ketocaproate and ketovalerate more effectively than the wild type were obtained. Among the enzymes studied, MetAlaDH exhibited the highest specific activity against pyruvate, 173 U/mg, and a KM value of 1.3 mM. VlAlaDH displayed the most favourable catalytic efficiency with a rate constant of 170 s-1mM-1. On the other hand, AfAlaDH demonstrated the highest catalytic efficiency against α-ketobutyrate (34.0 s-1mM-1) and α-ketovalerate (2.7 s-1mM-1). Of the enzymes investigated in the study, TtAlaDH exhibited the highest effectiveness among bacterial enzymes in catalyzing ketocaproate with a measured catalytic efficiency of about 0.6 s-1mM-1 and a KM value of approximately 0.3 mM. These findings provide valuable insights into the substrate specificity and catalytic performance of L-AlaDHs, enhancing our understanding of their potential applications in various biocatalytic processes.

Using High-Throughput Molecular Dynamics Simulation to Enhance the Computational Design of Kemp Elimination Enzymes

Computational enzyme design has been successfully applied to identify new alternatives to natural enzymes for the biosynthesis of important compounds. However, the moderate catalytic activities of de novo designed enzymes indicate that the modeling accuracy of current computational enzyme design methods should be improved. Here, high-throughput molecular dynamics simulations were used to enhance computational enzyme design, thus allowing the identification of variants with higher activities in silico. Different time schemes of high-throughput molecular dynamics simulations were tested to identify the catalytic features of evolved Kemp eliminases. The 20 × 1 ns molecular dynamics simulation scheme was sufficiently accurate and computationally viable to screen the computationally designed massive variants of Kemp elimination enzymes. The developed hybrid computational strategy was used to redesign the most active Kemp eliminase, HG3.17, and five variants were generated and experimentally confirmed to afford higher catalytic efficiencies than that of HG3.17, with one double variant (D52Q/A53S) exhibiting a 55% increase. The hybrid computational enzyme design strategy is general and computationally economical, with which we anticipate the efficient creation of practical enzymes for industrial biocatalysis.

Combined active pocket and hinge region engineering to develop an NADPH-dependent phenylglycine dehydrogenase

NADPH-dependent amino acid dehydrogenases (AADHs) are favorable enzymes to construct artificial biosynthetic pathways in whole-cell for high-value noncanonical amino acids (NcAAs) production. Glutamate dehydrogenases (GluDHs) represent attractive candidates for the development of novel NADPH-dependent AADHs. Here, we report the development of a novel NADPH-dependent phenylglycine dehydrogenase by combining active pocket engineering and hinge region engineering of a GluDH from Pseudomonas putida (PpGluDH). The active pocket of PpGluDH was firstly tailored to optimize its binding mode with bulky substrate α-oxobenzeneacetic acid (α-OA), and then, the hinge region was further engineered to tune the protein conformational dynamics, which finally resulted in a mutant M3 (T196A/T121I/L123D) with a 103-fold increase of catalytic efficiency (k_cat/K_m) toward α-OA. The M3 mutant exhibited high catalytic performance in both in vitro biocatalysis preparation and in vivo biosynthesis of l-phenylglycine, indicating its promising practical applications. Our results demonstrated that co-engineering of the active pocket and hinge region is an effective strategy for developing novel NADPH-dependent AADHs from GluDHs for NcAAs production.