Directed evolution of a thermostable phosphite dehydrogenase for NAD(P)H regeneration

On the robust circuit design schemes of biochemical networks: steady-state approach

Based on the steady-state analyses of the synergism and saturation system (S-system) model, a robust control method is proposed for biochemical networks via feedback and feedforward biochemical circuits. Two robust biochemical circuit design schemes are developed. One scheme is to improve the system's structural stability so as to tolerate larger kinetic parameter variations, whereas the other is to compensate for the kinetic parameter variations to eliminate their effects. In addition, a multi-objective biochemical circuit design scheme is introduced for both the robust design against kinetic parameter variations and a desired sensitivity design to eliminate the effect of external disturbance simultaneously. The proposed robust circuit design schemes will provide a systematic method with potential applications in synthetic circuit design for biotechnological purpose and drug design purpose. Recent advances in both metabolic and genetic engineering have made the robust biochemical circuit control approach feasible through the design and implementation of synthetic biological networks amenable to mathematical modeling and quantitative analysis. Finally, several examples including the robust circuit design of the tricarboxylic acid cycle are used in silico to illustrate the design procedure and to confirm the performance of the proposed design method.

On the adaptive design rules of biochemical networks in evolution

Biochemical networks are the backbones of physiological systems of organisms. Therefore, a biochemical network should be sufficiently robust (not sensitive) to tolerate genetic mutations and environmental changes in the evolutionary process. In this study, based on the robustness and sensitivity criteria of biochemical networks, the adaptive design rules are developed for natural selection in the evolutionary process. This will provide insights into the robust adaptive mechanism of biochemical networks in the evolutionary process.We find that if a mutated biochemical network satisfies the robustness and sensitivity criteria of natural selection, there is a high probability for the biochemical network to prevail during natural selection in the evolutionary process. Since there are various mutated biochemical networks that can satisfy these criteria but have some differences in phenotype, the biochemical networks increase their diversities in the evolutionary process. The robustness of a biochemical network enables co-option so that new phenotypes can be generated in evolution. The proposed robust adaptive design rules of natural selection gain much insight into the evolutionary mechanism and provide a systematic robust biochemical circuit design method of biochemical networks for biotechnological and therapeutic purposes in the future.

Efficient regeneration of NADPH using an engineered phosphite dehydrogenase

The in situ regeneration of reduced nicotinamide cofactors (NAD(P)H) is necessary for practical synthesis of many important chemicals. Here, we report the engineering of a highly stable and active mutant phosphite dehydrogenase (12x-A176R PTDH) from Pseudomonas stutzeri and evaluation of its potential as an effective NADPH regeneration system in an enzyme membrane reactor. Two practically important enzymatic reactions including xylose reductase-catalyzed xylitol synthesis and alcohol dehydrogenase-catalyzed (R)-phenylethanol synthesis were used as model systems, and the mutant PTDH was directly compared to the commercially available NADP(+)-specific Pseudomonas sp. 101 formate dehydrogenase (mut Pse-FDH) that is widely used for NADPH regeneration. In both model reactions, the two regeneration enzymes showed similar rates of enzyme activity loss; however, the mutant PTDH showed higher substrate conversion and higher total turnover numbers for NADP(+) than mut Pse-FDH. The space-time yields of the product with the mutant PTDH were also up to fourfold higher than those with mut Pse-FDH. In particular, a space-time yield of 230 g L(-1) d(-1) xylitol was obtained with the mutant PTDH using a charged nanofiltration membrane, representing the highest productivity compared to other existing biological processes for xylitol synthesis based on yeast D-xylose converting strains or similar in vitro enzyme membrane reactor systems.

Rings, radicals, and regeneration: the early years of a bioorganic laboratory

This Perspective provides an overview of the progress in two of the original programs in my research group focused on the biosynthesis of the antibiotics nisin, lacticin 481, fosfomycin, and bialaphos. The path from start-up funds to tenure and beyond offers insights into the opportunities realized and missed along the road.

High-throughput screening for enhanced protein stability

High thermostability of proteins is a prerequisite for their implementation in biocatalytic processes and in the evolution of new functions. Various protein engineering methods have been applied to the evolution of increased thermostability, including the use of combinatorial design where a diverse library of proteins is generated and screened for variants with increased stability. Current trends are toward the use of data-driven methods that reduce the library size by using available data to choose areas of the protein to target, without specifying the precise changes. For example, the half-lives of subtilisin and a Bacillus subtilis lipase were increased 1500-fold and 300-fold, respectively, using a crystal structure to guide mutagenesis choices. Sequence homology based methods have also produced libraries where 50% of the variants have improved thermostability. Moreover, advances in the high-throughput measurement of denaturation curves and the application of selection methods to thermostability evolution have enabled the screening of larger libraries. The combination of these methods will lead to the rapid improvement of protein stability for biotechnological purposes.

Coimmobilization of a redox enzyme and a cofactor regeneration system

The coimmobilization of nitrobenzene nitroreductase and glucose-6-phosphate dehydrogenase in silica particles enables the continuous conversion of nitrobenzene to hydroxylaminobenzene with NADPH recycling.

Protein engineering of formate dehydrogenase

NAD+-dependent formate dehydrogenase (FDH, EC 1.2.1.2) is one of the best enzymes for the purpose of NADH regeneration in dehydrogenase-based synthesis of optically active compounds. Low operational stability and high production cost of native FDHs limit their application in commercial production of chiral compounds. The review summarizes the results on engineering of bacterial and yeast FDHs aimed at improving their chemical and thermal stability, catalytic activity, switch in coenzyme specificity from NAD+ to NADP+ and overexpression in Escherichia coli cells.

Directed evolution of enzymes and biosynthetic pathways

Directed evolution is an important tool for overcoming the limitations of natural enzymes as biocatalysts. Recent advances have focused on applying directed evolution to a variety of enzymes, such as epoxide hydrolase, glyphosate N-acetyltransferase, xylanase and phosphotriesterase, in order to improve their activity, selectivity, stability and solubility. The focus has also shifted to manipulating biosynthetic pathways for the production of many naturally synthesized compounds, as well as the production of novel 'unnatural' compounds. A combined directed evolution and computational design approach is becoming increasingly important in exploring enzyme sequence-space and creating improved or novel enzymes. Fueled by recent breakthroughs in genomics and metagenomics, these developments should help expand the use of biocatalysts in industry.