TY - JOUR
T1 - Transition Path Sampling Study of Engineered Enzymes That Catalyze the Morita-Baylis-Hillman Reaction
T2 - Why Is Enzyme Design so Difficult?
AU - Balasubramani, Sree Ganesh
AU - Korchagina, Kseniia
AU - Schwartz, Steven
N1 - Publisher Copyright:
© 2024 American Chemical Society.
PY - 2024/3/25
Y1 - 2024/3/25
N2 - It is hoped that artificial enzymes designed in laboratories can be efficient alternatives to chemical catalysts that have been used to synthesize organic molecules. However, the design of artificial enzymes is challenging and requires a detailed molecular-level analysis to understand the mechanism they promote in order to design efficient variants. In this study, we computationally investigate the mechanism of proficient Morita-Baylis-Hillman enzymes developed using a combination of computational design and directed evolution. The powerful transition path sampling method coupled with in-depth post-processing analysis has been successfully used to elucidate the different chemical pathways, transition states, protein dynamics, and free energy barriers of reactions catalyzed by such laboratory-optimized enzymes. This research provides an explanation for how different chemical modifications in an enzyme affect its catalytic activity in ways that are not predictable by static design algorithms.
AB - It is hoped that artificial enzymes designed in laboratories can be efficient alternatives to chemical catalysts that have been used to synthesize organic molecules. However, the design of artificial enzymes is challenging and requires a detailed molecular-level analysis to understand the mechanism they promote in order to design efficient variants. In this study, we computationally investigate the mechanism of proficient Morita-Baylis-Hillman enzymes developed using a combination of computational design and directed evolution. The powerful transition path sampling method coupled with in-depth post-processing analysis has been successfully used to elucidate the different chemical pathways, transition states, protein dynamics, and free energy barriers of reactions catalyzed by such laboratory-optimized enzymes. This research provides an explanation for how different chemical modifications in an enzyme affect its catalytic activity in ways that are not predictable by static design algorithms.
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U2 - 10.1021/acs.jcim.4c00045
DO - 10.1021/acs.jcim.4c00045
M3 - Article
C2 - 38451822
AN - SCOPUS:85187409100
SN - 1549-9596
VL - 64
SP - 2101
EP - 2111
JO - Journal of Chemical Information and Modeling
JF - Journal of Chemical Information and Modeling
IS - 6
ER -