Lianxin Wang, Yuanfei Xue, Jia-Ning Wang, Yan Mo and Ye Mei*,
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引用次数: 0
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 crucial 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 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 physics-based approach to streamline and advance enzyme evolution.
期刊介绍:
An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.