Accelerating Biocatalysis Discovery with Machine Learning: A Paradigm Shift in Enzyme Engineering, Discovery, and Design-Reference-Cited by-同舟云学术

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Accelerating Biocatalysis Discovery with Machine Learning: A Paradigm Shift in Enzyme Engineering, Discovery, and Design

Published:2023-10-26 Issue:21 Volume:13 Page:14454-14469
ISSN:2155-5435
Container-title:ACS Catalysis
language:en
Short-container-title:ACS Catal.

Author:

Markus Braun¹,C Gruber Christian²,Andreas Krassnigg²,Arkadij Kummer³,Stefan Lutz⁴,Gustav Oberdorfer¹,Elina Siirola⁵,Radka Snajdrova⁵^ORCID

Affiliation:

1. Department of Biochemistry, Graz University of Technology, Petersgasse 12/2, 8010 Graz, Austria

2. Enzyme and Drug Discovery, Innophore. 1700 Montgomery Street, San Francisco, California 94111, United States

3. Moderna, Inc., 200 Technology Square, Cambridge, Massachusetts 02139, United States

4. Codexis Inc., 200 Penobscot Drive, Redwood City, California 94063, United States

5. Novartis Institute for Biomedical Research, Global Discovery Chemistry, Basel CH-4108, Switzerland

Funder

European Research Council

Austrian Science Fund

Publisher

American Chemical Society (ACS)

Subject

Catalysis,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acscatal.3c03417

Reference115 articles.

1. Biocatalysis: Enzymatic Synthesis for Industrial Applications

2. Machine learning-assisted enzyme engineering

3. Machine Learning in Enzyme Engineering

4. Can Machine Learning Revolutionize Directed Evolution of Selective Enzymes?

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1. Enzymatic micro/nanomotors in biomedicine: from single motors to swarms;Journal of Materials Chemistry B;2024

2. Data‐Driven Protein Engineering for Improving Catalytic Activity and Selectivity;ChemBioChem;2023-12-11

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