Machine learning model of the catalytic efficiency and substrate specificity of acyl-ACP thioesterase variants generated from natural and in vitro directed evolution

Machine learning model of the catalytic efficiency and substrate specificity of acyl-ACP thioesterase variants generated from natural and in vitro directed evolution

Modulating the catalytic activity of acyl-ACP thioesterase (TE) is an important biotechnological target for effectively increasing flux and diversifying products of the fatty acid biosynthesis pathway. In this study, a directed evolution approach was developed to improve the fatty acid titer and fat...

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Bibliographic Details
Main Authors: Fuyuan Jing, Keting Chen, Marna D. Yandeau-Nelson, Basil J. Nikolau
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
Thioesterase
acyl-ACP
fatty acids
directed evolution
random forest
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2024.1379121/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2024.1379121/full

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