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    Area of Science:

    • Biocatalysis
    • Metabolic Engineering
    • Synthetic Biology

    Background:

    • Biological reducing power is primarily managed by nicotinamide adenine dinucleotide (phosphate) (NAD(P)/H), which poses challenges for directing it to engineered metabolic pathways.
    • Nicotinamide mononucleotide (NMN(H)) offers an orthogonal redox cofactor solution, but creating NMN(H)-specific enzymes that avoid cellular NAD(P)/H pools remains difficult.
    • Prior enzyme designs preserved the conserved GxGxxG motif in Rossmann fold enzymes, inadvertently maintaining NAD(P)/H recognition.

    Purpose of the Study:

    • To develop NMN(H)-specific enzymes by engineering the conserved GxGxxG motif in Rossmann fold enzymes.
    • To demonstrate the feasibility of creating orthogonal redox biocatalysts independent of cellular NAD(P)/H pools.
    • To enhance biocatalytic productivity and cofactor specificity for engineered metabolic pathways.

    Main Methods:

    • Enzyme engineering by modifying the GxGxxG motif in Rossmann fold enzymes.
    • Implementation on phosphite dehydrogenase (PTDH) and glyceraldehyde-3-phosphate dehydrogenase (GapA).
    • Utilized Rosetta modeling, structural alignment, and experimental validation in whole cells and cell lysates.

    Main Results:

    • Engineered PTDH variants (NRC-01, NRC-02) eliminated cofactor "leaking" and increased NMN(H)-dependent biotransformation productivity by ~240-fold.
    • Engineered GapA variant (RSQ) achieved a ~2.9x10^4-fold switch in cofactor specificity from NAD+ to NMN+.
    • Demonstrated successful creation of active NMN+-specific enzymes by altering the previously essential GxGxxG motif.

    Conclusions:

    • The conserved GxGxxG motif in Rossmann fold enzymes is mutable, enabling the creation of NMN+-specific enzymes.
    • Rossmann fold reprogramming, combined with structural reinforcement, provides a general strategy for developing orthogonal redox biocatalysts.
    • This approach overcomes limitations of NAD(P)/H dependency, paving the way for advanced metabolic engineering applications.