Enhancing D-Lactonohydrolase Activity for Efficient Vitamin B5 Production: A Computational Design Approach

Computational design has emerged as a transformative force in biocatalysis, offering unprecedented opportunities to optimize enzyme activity for various industrial applications. This study focuses on enhancing the catalytic efficiency of D-Lactonohydrolase, an enzyme playing a critical role in the resolution of racemic pantolactone, a crucial step in Vitamin B5 production. We employed a synergistic combination of cutting-edge in silico tools, including Steered Molecular Dynamics (SMD), Functional Library (FuncLib), Protein Strain analysis, and Frustration findER (pSUFER), to identify and modify specific amino acid residues within the enzyme's active site. This targeted approach aimed to enhance substrate binding, improve catalytic efficiency, and ultimately increase the overall yield of D-pantoyl lactone, the desired enantiomer for Vitamin B5 synthesis. Our findings demonstrate the power of computational design in engineering enzymes with enhanced activity, offering a promising avenue for developing more efficient and sustainable biocatalytic processes for Vitamin B5 production and other valuable compounds. This research paves the way for applying similar computational strategies to other enzymes, potentially revolutionizing the fields of pharmaceuticals, biofuels, and bioplastics by enabling the development of greener and more efficient manufacturing processes.