Improving the NADH-cofactor specificity of the highly active AdhZ3 and AdhZ2 from Escherichia coli K-12

Synthesis of C-N bonds by nicotinamide-dependent oxidoreductase: an overview

Compounds containing chiral C-N bonds play a vital role in the composition of biologically active natural products and small pharmaceutical molecules. Therefore, the development of efficient and convenient methods for synthesizing compounds containing chiral C-N bonds is a crucial area of research. Nicotinamide-dependent oxidoreductases (NDOs) emerge as promising biocatalysts for asymmetric synthesis of chiral C-N bonds due to their mild reaction conditions, exceptional stereoselectivity, high atom economy, and environmentally friendly nature. This review aims to present the structural characteristics and catalytic mechanisms of various NDOs, including imine reductases/ketimine reductases, reductive aminases, EneIRED, and amino acid dehydrogenases. Additionally, the review highlights protein engineering strategies employed to modify the stereoselectivity, substrate specificity, and cofactor preference of NDOs. Furthermore, the applications of NDOs in synthesizing essential medicinal chemicals, such as noncanonical amino acids and chiral amine compounds, are extensively examined. Finally, the review outlines future perspectives by addressing challenges and discussing the potential of utilizing NDOs to establish efficient biosynthesis platforms for C-N bond synthesis. In conclusion, NDOs provide an economical, efficient, and environmentally friendly toolbox for asymmetric synthesis of C-N bonds, thus contributing significantly to the field of pharmaceutical chemical development.

Engineering of Transmembrane Alkane Monooxygenases to Improve a Key Reaction Step in the Synthesis of Polymer Precursor Tulipalin A

The α-methylene-γ-butyrolactone tulipalin A, a defense compound found in tulips, can polymerize via addition at the vinyl group or via ring-opening polymerization, making it a highly promising monomer for bio-based polymers. Since the biosynthesis of tulipalin A in plants remains elusive, we propose an alternative pathway for its synthesis starting from the terpenoid intermediate isoprenyl acetate. While fungal unspecific peroxygenases showed a preference for the unwanted epoxidation of the exo-olefin group, bacterial alkane monooxygenases were selective for terminal hydroxylation. By combining protein engineering based on de novo structure prediction of the membrane enzymes with cell engineering, the specific activity was increased 6-fold to 1.83 U gcdw -1. Oxidation of the formed allylic alcohol by a three-enzyme cascade and subsequent lactonization yielded tulipalin A. Our results demonstrate the feasibility of producing the polymer precursor tulipalin A from terpenoid intermediates and provide a solid foundation for future metabolic engineering endeavors.

Deep learning for NAD/NADP cofactor prediction and engineering using transformer attention analysis in enzymes

Understanding and manipulating the cofactor preferences of NAD(P)-dependent oxidoreductases, the most widely distributed enzyme group in nature, is increasingly crucial in bioengineering. However, large-scale identification of the cofactor preferences and the design of mutants to switch cofactor specificity remain as complex tasks. Here, we introduce DISCODE (Deep learning-based Iterative pipeline to analyze Specificity of COfactors and to Design Enzyme), a novel transformer-based deep learning model to predict NAD(P) cofactor preferences. For model training, a total of 7,132 NAD(P)-dependent enzyme sequences were collected. Leveraging whole-length sequence information, DISCODE classifies the cofactor preferences of NAD(P)-dependent oxidoreductase protein sequences without structural or taxonomic limitation. The model showed 97.4% and 97.3% of accuracy and F1 score, respectively. A notable feature of DISCODE is the interpretability of its transformer layers. Analysis of attention layers in the model enables identification of several residues that showed significantly higher attention weights. They were well aligned with structurally important residues that closely interact with NAD(P), facilitating the identification of key residues for determining cofactor specificities. These key residues showed high consistency with verified cofactor switching mutants. Integrated into an enzyme design pipeline, DISCODE coupled with attention analysis, enables a fully automated approach to redesign cofactor specificity.

Growth-Based, High-Throughput Selection for NADH Preference in an Oxygen-Dependent Biocatalyst

Cyclohexanone monooxygenases (CHMO) consume molecular oxygen and NADPH to catalyze the valuable oxidation of cyclic ketones. However, CHMO usage is restricted by poor stability and stringent specificity for NADPH. Efforts to engineer CHMO have been limited by the sensitivity of the enzyme to perturbations in conformational dynamics and long-range interactions that cannot be predicted. We demonstrate an aerobic, high-throughput growth selection platform in Escherichia coli for oxygenase evolution based on NADH redox balance. We applied this NADH-dependent selection to alter the cofactor specificity of CHMO to accept NADH, a less expensive cofactor than NADPH. We first identified the variant CHMO DTNP (S208D-K326T-K349N-L143P) with a ∼1200-fold relative cofactor specificity switch from NADPH to NADH compared to the wild type through semirational design. Molecular modeling suggests CHMO DTNP activity is driven by cooperative fine-tuning of cofactor contacts. Additional evolution of CHMO DTNP through random mutagenesis yielded the variant CHMO DTNPY with a ∼2900-fold relative specificity switch compared to the wild type afforded by an additional distal mutation, H163Y. These results highlight the difficulty in engineering functionally innovative variants from static models and rational designs, and the need for high throughput selection methods. Our introduced tools for oxygenase engineering accelerate the advancements of characteristics essential for industrial feasibility.

carba Nicotinamide Adenine Dinucleotide Phosphate: Robust Cofactor for Redox Biocatalysis

Here we report a new robust nicotinamide dinucleotide phosphate cofactor analog (carba-NADP+ ) and its acceptance by many enzymes in the class of oxidoreductases. Replacing one ribose oxygen with a methylene group of the natural NADP+ was found to enhance stability dramatically. Decomposition experiments at moderate and high temperatures with the cofactors showed a drastic increase in half-life time at elevated temperatures since it significantly disfavors hydrolysis of the pyridinium-N-glycoside bond. Overall, more than 27 different oxidoreductases were successfully tested, and a thorough analytical characterization and comparison is given. The cofactor carba-NADP+ opens up the field of redox-biocatalysis under harsh conditions.

Molecular Dynamics Analysis of a Rationally Designed Aldehyde Dehydrogenase Gives Insights into Improved Activity for the Non-Native Cofactor NAD

The aldehyde dehydrogenase from Thermoplasma acidophilum was previously implemented as a key enzyme in a synthetic cell-free reaction cascade for the production of alcohols. In order to engineer the enzyme's cofactor specificity from NADP⁺ to NAD⁺, we identified selectivity-determining residues with the CSR-SALAD tool and investigated further positions based on the crystal structure. Stepwise combination of the initially discovered six point mutations allowed us to monitor the cross effects of each mutation, resulting in a final variant with reduced K_M for the non-native cofactor NAD⁺ (from 18 to 0.6 mM) and an increased activity for the desired substrate d-glyceraldehyde (from 0.4 to 1.5 U/mg). Saturation mutagenesis of the residues at the entrance of the substrate pocket could eliminate substrate inhibition. Molecular dynamics simulations showed a significant gain of flexibility at the cofactor binding site for the final variant. The concomitant increase in stability against isobutanol and only a minor reduction in its temperature stability render the final variant a promising candidate for future optimization of our synthetic cell-free enzymatic cascade.

Cofactor Specificity Switch on Peach Glucitol Dehydrogenase

Most oxidoreductases that use NAD⁺ or NADP⁺ to transfer electrons in redox reactions display a strong preference for the cofactor. The catalytic efficiency of peach glucitol dehydrogenase (GolDHase) for NAD⁺ is 1800-fold higher than that for NADP⁺. Herein, we combined structural and kinetic data to reverse the cofactor specificity of this enzyme. Using site-saturation mutagenesis, we obtained the D216A mutant, which uses both NAD⁺ and NADP⁺, although with different catalytic efficiencies (1000 ± 200 and 170 ± 30 M^-1 s^-1, respectively). This mutant was used as a template to introduce further mutations by site-directed mutagenesis, using information from the fruit fly NADP-dependent GolDHase. The D216A/V217R/D218S triple mutant displayed a 2-fold higher catalytic efficiency with NADP⁺ than with NAD⁺. Overall, our results indicate that the triple mutant has the potential to be used for metabolic and cellular engineering and for cofactor recycling in industrial processes.

Redox cofactor engineering in industrial microorganisms: strategies, recent applications and future directions

NAD and NADP, a pivotal class of cofactors, which function as essential electron donors or acceptors in all biological organisms, drive considerable catabolic and anabolic reactions. Furthermore, they play critical roles in maintaining intracellular redox homeostasis. However, many metabolic engineering efforts in industrial microorganisms towards modification or introduction of metabolic pathways, especially those involving consumption, generation or transformation of NAD/NADP, often induce fluctuations in redox state, which dramatically impede cellular metabolism, resulting in decreased growth performance and biosynthetic capacity. Here, we comprehensively review the cofactor engineering strategies for solving the problematic redox imbalance in metabolism modification, as well as their features, suitabilities and recent applications. Some representative examples of in vitro biocatalysis are also described. In addition, we briefly discuss how tools and methods from the field of synthetic biology can be applied for cofactor engineering. Finally, future directions and challenges for development of cofactor redox engineering are presented.

Protein Engineering for Nicotinamide Coenzyme Specificity in Oxidoreductases: Attempts and Challenges

Oxidoreductases are ubiquitous enzymes that catalyze an extensive range of chemical reactions with great specificity, efficiency, and selectivity. Most oxidoreductases are nicotinamide cofactor-dependent enzymes with a strong preference for NADP or NAD. Because these coenzymes differ in stability, bioavailability and costs, the enzyme preference for a specific coenzyme is an important issue for practical applications. Different approaches for the manipulation of coenzyme specificity have been reported, with different degrees of success. Here we present various attempts for the switching of nicotinamide coenzyme preference in oxidoreductases by protein engineering. This review covers 103 enzyme engineering studies from 82 articles and evaluates the accomplishments in terms of coenzyme specificity and catalytic efficiency compared to wild type enzymes of different classes. We analyzed different protein engineering strategies and related them with the degree of success in inverting the cofactor specificity. In general, catalytic activity is compromised when coenzyme specificity is reversed, however when switching from NAD to NADP, better results are obtained. In most of the cases, rational strategies were used, predominantly with loop exchange generating the best results. In general, the tendency of removing acidic residues and incorporating basic residues is the strategy of choice when trying to change specificity from NAD to NADP, and vice versa. Computational strategies and algorithms are also covered as helpful tools to guide protein engineering strategies. This mini review aims to give a general introduction to the topic, giving an overview of tools and information to work in protein engineering for the reversal of coenzyme specificity.

Substitutions at the cofactor phosphate-binding site of a clostridial alcohol dehydrogenase lead to unexpected changes in substrate specificity

Changing the cofactor specificity of an enzyme from nicotinamide adenine dinucleotide 2′-phosphate (NADPH) to the more abundant NADH is a common strategy for increasing overall enzyme efficiency in microbial metabolic engineering. The aim of this study was to switch the cofactor specificity of the primary–secondary alcohol dehydrogenase from Clostridium autoethanogenum, a bacterium with considerable promise for the bio-manufacturing of fuels and other petrochemicals, from strictly NADPH-dependent to NADH-dependent. We used insights from a homology model to build a site-saturation library focussed on residue S199, the position deemed most likely to disrupt binding of the 2′-phosphate of NADPH. Although the CaADH(S199X) library did not yield any NADH-dependent enzymes, it did reveal that substitutions at the cofactor phosphate-binding site can cause unanticipated changes in the substrate specificity of the enzyme. Using consensus-guided site-directed mutagenesis, we were able to create an enzyme that was stringently NADH-dependent, albeit with a concomitant reduction in activity. This study highlights the role that distal residues play in substrate specificity and the complexity of enzyme–cofactor interactions.