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Enzyme engineering allows the optimization of virtually any enzyme into a powerful catalyst, which can be conveniently applied under industrial conditions. Commonly, directed evolution (Nobel Prize in Chemistry, 2018) is used to improve enzymes in iterative cycles of random mutagenesis and selection for user-defined improved attributes.
However, traditional mutagenesis approaches either necessitate the screening of vast enzyme variant libraries or come at the cost of superficial sequence space coverage.
BioEngine® can significantly speed up the process of bringing your idea to the market.
Spurred by these limitations, Enzymaster has developed the BioEngine®, a proprietary directed evolution platform with integrated computational enzyme engineering. The implementation of computational hot spot identification, in silico enzyme library screening, and in silico recombination into the directed evolution cycle allows us to shift most of the screening efforts from the laboratory into the computer and cover a large sequence space of the enzyme, all while accounting for the real chemical process conditions.
Based on the computational results, we construct smart and small libraries of enzyme variants, which can be conveniently screened via HPLC or GC to characterize a comprehensive range of desired properties for these variants. This enables us to reach the desired biocatalytic process target in typically only 3-6 rounds of combined in silico and experimental directed evolution. Therefore, BioEngine® can significantly speed up the process of bringing your idea to the market.