A Customized Bayesian Algorithm to Optimize Enzyme-Catalyzed Reactions-Reference-Cited by-同舟云学术

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A Customized Bayesian Algorithm to Optimize Enzyme-Catalyzed Reactions

Published:2023-08-03 Issue:33 Volume:11 Page:12336-12344
ISSN:2168-0485
Container-title:ACS Sustainable Chemistry & Engineering
language:en
Short-container-title:ACS Sustainable Chem. Eng.

Author:

Tachibana Ryo¹²^ORCID,Zhang Kailin¹,Zou Zhi¹,Burgener Simon¹^ORCID,Ward Thomas R.¹³²^ORCID

Affiliation:

1. Department of Chemistry, University of Basel, Mattenstrasse 24a, BPR 1096, CH-4058, Basel, Switzerland

2. National Center of Competence in Research (NCCR) “Catalysis”, ETHZ, 8093 Zurich, Switzerland

3. National Center of Competence in Research (NCCR) “Molecular Systems Engineering”, 4058 Basel, Switzerland

Funder

Novartis

NCCR Catalysis

Universit?t Basel

H2020 European Research Council

Publisher

American Chemical Society (ACS)

Subject

Renewable Energy, Sustainability and the Environment,General Chemical Engineering,Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acssuschemeng.3c02402

Reference58 articles.

1. Machine intelligence for chemical reaction space

2. A Design of Experiments (DoE) Approach Accelerates the Optimization of Copper-Mediated 18F-Fluorination Reactions of Arylstannanes

3. Statistical Design of Experiments for Synthetic Biology

4. Statistical Design of Experiments for Screening and Optimization

5. Design of Experiments (DoE) and Process Optimization. A Review of Recent Publications

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