TY - JOUR
T1 - Rational Enzyme Evolution by Facilitating Correlated Motion along the Reaction
AU - Wang, Lianxin
AU - Xue, Yuanfei
AU - Wang, Jia Ning
AU - Mo, Yan
AU - Mei, Ye
N1 - Publisher Copyright:
© 2025 American Chemical Society.
PY - 2025/6/5
Y1 - 2025/6/5
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105006725857
U2 - 10.1021/acs.jpcb.5c02133
DO - 10.1021/acs.jpcb.5c02133
M3 - 文章
C2 - 40426335
AN - SCOPUS:105006725857
SN - 1520-6106
VL - 129
SP - 5591
EP - 5600
JO - Journal of Physical Chemistry B
JF - Journal of Physical Chemistry B
IS - 22
ER -