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

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第一作者： Fuyuan,Jing

第一单位： Roy J. Carver Department of Biochemistry, Biophysics, and Molecular Biology, Iowa State University, Ames, IA, United States.;Center for Metabolic Biology, Iowa State University, Ames, IA, United States.;Engineering Research Center for Biorenewable Chemicals, Iowa State University, Ames, IA, United States.

作者： Fuyuan,Jing ^[1] ; Keting,Chen ^[2] ; Marna D,Yandeau-Nelson ^[3] ; Basil J,Nikolau ^[1]

作者单位： Roy J. Carver Department of Biochemistry, Biophysics, and Molecular Biology, Iowa State University, Ames, IA, United States.;Center for Metabolic Biology, Iowa State University, Ames, IA, United States.;Engineering Research Center for Biorenewable Chemicals, Iowa State University, Ames, IA, United States. ^[1] Roy J. Carver Department of Biochemistry, Biophysics, and Molecular Biology, Iowa State University, Ames, IA, United States.;Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, United States. ^[2] Center for Metabolic Biology, Iowa State University, Ames, IA, United States.;Engineering Research Center for Biorenewable Chemicals, Iowa State University, Ames, IA, United States.;Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, United States. ^[3]

关键词 Thioesterase acyl-ACP directed evolution fatty acids machine learning random forest

DOI 10.3389/fbioe.2024.1379121

PMID 38665811

发布时间 2024-04-27

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Frontiers in bioengineering and biotechnology

2024年12卷

1379121页

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

Frontiers in bioengineering and biotechnology

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Frontiers in bioengineering and biotechnology

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

Frontiers in bioengineering and biotechnology

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Frontiers in bioengineering and biotechnology

相关期刊

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