Abstract
Enzymes are highly efficient and specific protein catalysts that play an essential role in regulating metabolic processes in living organisms. By modulating the rates of chemical reactions, enzymes tune fundamental essential biological functions. Directed evolution is a widely used strategy to enhance protein functionality by selecting variants with desirable traits through random mutation and recombination. However, this approach often relies heavily on chemical intuition and demands substantial experimental resources, including labor-intensive mutagenesis. In contrast, rational enzyme engineering leverages mechanistic insights to enhance efficiency and reduce costs. This study presents a mutation strategy guided by the correlated motion of protein during enzymatic reactions, validated through four mutations across two proteins. The results underscore the potential of this approach to streamline and advance enzyme evolution.
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