Design of Efficient Artificial Enzymes Using Crystallographically Enhanced Conformational Sampling-Reference-Cited by-同舟云学术

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Design of Efficient Artificial Enzymes Using Crystallographically Enhanced Conformational Sampling

Published:2024-03-27 Issue:14 Volume:146 Page:10001-10013
ISSN:0002-7863
Container-title:Journal of the American Chemical Society
language:en
Short-container-title:J. Am. Chem. Soc.

Author:

Rakotoharisoa Rojo V.¹²,Seifinoferest Behnoush³,Zarifi Niayesh¹²,Miller Jack D.M.¹²,Rodriguez Joshua M.³,Thompson Michael C.³,Chica Roberto A.¹²^ORCID

Affiliation:

1. Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada

2. Center for Catalysis Research and Innovation, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada

3. Department of Chemistry and Biochemistry, University of California Merced, Merced, California 95343, United States

Funder

Biological and Environmental Research

Canada Foundation for Innovation

Human Frontier Science Program

Natural Sciences and Engineering Research Council of Canada

National Institutes of Health

Alliance de recherche num?rique du Canada

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/jacs.4c00677

Reference54 articles.

1. Combinatorial methods for small-molecule placement in computational enzyme design

2. New algorithms and an in silico benchmark for computational enzyme design

3. Kemp elimination catalysts by computational enzyme design

4. De Novo Computational Design of Retro-Aldol Enzymes

5. Computational Design of an Enzyme Catalyst for a Stereoselective Bimolecular Diels-Alder Reaction

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