Automated in vivo enzyme engineering accelerates biocatalyst optimization
Nature Communications, vol. 15, pp. 3447
Abstract
Achieving cost-competitive bio-based processes requires development of stable and selective biocatalysts. Their realization through in vitro enzyme characterization and engineering is mostly low throughput and labor-intensive. Therefore, strategies for increasing throughput while diminishing manual labor are gaining momentum, such as in vivo screening and evolution campaigns. Computational tools like machine learning further support enzyme engineering efforts by widening the explorable design space. Here, we propose an integrated solution to enzyme engineering challenges whereby ML-guided, automated workflows (including library generation, implementation of hypermutation systems, adapted laboratory evolution, and in vivo growth-coupled selection) could be realized to accelerate pipelines towards superior biocatalysts.
Authors 5
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Novo Nordisk Foundation · Technical University of Denmark
Affiliation as printed
The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800, Kongens Lyngby, Denmark
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Affiliation as printed
Institute of Biology Leiden, Leiden University, 2333 BE, Leiden, The Netherlands
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Affiliation as printed
Institute of Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich, 52425, Jülich, Germany
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Novo Nordisk Foundation · Technical University of Denmark
Affiliation as printed
The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800, Kongens Lyngby, Denmark
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Steffen N. Lindner corresponding
Max Planck Institute of Molecular Plant Physiology · Charité - Universitätsmedizin Berlin
Affiliation as printed
Department of Biochemistry, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität, 10117, Berlin, Germany. steffen.lindner@charite.de
Max Planck Institute of Molecular Plant Physiology, 14476, Potsdam-Golm, Germany. steffen.lindner@charite.de
Department of Biochemistry, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität, 10117, Berlin, Germany
Max Planck Institute of Molecular Plant Physiology, 14476, Potsdam-Golm, Germany
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