Computational design of highly stable and soluble alcohol dehydrogenase for NADPH regeneration

Jinling Xu , Haisheng Zhou , Haoran Yu , Tong Deng , Ziyuan Wang , Hongyu Zhang , Jianping Wu , Lirong Yang

Bioresources and Bioprocessing ›› 2021, Vol. 8 ›› Issue (1) : 12

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Bioresources and Bioprocessing ›› 2021, Vol. 8 ›› Issue (1) : 12 DOI: 10.1186/s40643-021-00362-w
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Computational design of highly stable and soluble alcohol dehydrogenase for NADPH regeneration

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Abstract

Nicotinamide adenine dinucleotide phosphate (NADPH), as a well-known cofactor, is widely used in the most of enzymatic redox reactions, playing an important role in industrial catalysis. However, the absence of a comparable method for efficient NADP+ to NADPH cofactor regeneration radically impairs efficient green chemical synthesis. Alcohol dehydrogenase (ADH) enzymes, allowing the in situ regeneration of the redox cofactor NADPH with high specific activity and easy by-product separation process, are provided with great industrial application potential and research attention. Accordingly, herein a NADP+-specific ADH from Clostridium beijerinckii was selected to be engineered for cofactor recycle, using an automated algorithm named Protein Repair One-stop Shop (PROSS). The mutant CbADH-6M (S24P/G182A/G196A/H222D/S250E/S254R) exhibited a favorable soluble and highly active expression with an activity of 46.3 U/mL, which was 16 times higher than the wild type (2.9 U/mL), and a more stable protein conformation with an enhanced thermal stability: Δ ${T}_{1/2}^{60\mathrm{min}}$=  + 3.6 °C (temperature of 50% inactivation after incubation for 60 min). Furthermore, the activity of CbADH-6M was up-graded to 2401.8 U/mL by high cell density fermentation strategy using recombinant Escherichia coli, demonstrating its industrial potential. Finally, the superb efficiency for NADPH regeneration of the mutant enzyme was testified in the synthesis of some fine chiral aromatic alcohols coupling with another ADH from Lactobacillus kefir (LkADH).

Keywords

Alcohol dehydrogenase / Computational design / Soluble expression / NADPH regeneration / Chiral alcohols

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Jinling Xu, Haisheng Zhou, Haoran Yu, Tong Deng, Ziyuan Wang, Hongyu Zhang, Jianping Wu, Lirong Yang. Computational design of highly stable and soluble alcohol dehydrogenase for NADPH regeneration. Bioresources and Bioprocessing, 2021, 8(1): 12 DOI:10.1186/s40643-021-00362-w

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Funding

National Natural Science Foundation of China(21476199)

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