Computational Evolution Of New Catalysts For The Morita–Baylis–Hillman Reaction

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Computational Evolution Of New Catalysts For The Morita–Baylis–Hillman Reaction. / Seumer, Julius; Hansen, Jonathan Kirschner Solberg; Brøndsted Nielsen, Mogens; Jensen, Jan Halborg.

I: Angewandte Chemie, Bind 135, Nr. 18, e202218565, 2023.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Seumer, J, Hansen, JKS, Brøndsted Nielsen, M & Jensen, JH 2023, 'Computational Evolution Of New Catalysts For The Morita–Baylis–Hillman Reaction', Angewandte Chemie, bind 135, nr. 18, e202218565. https://doi.org/10.1002/ange.202218565

APA

Seumer, J., Hansen, J. K. S., Brøndsted Nielsen, M., & Jensen, J. H. (2023). Computational Evolution Of New Catalysts For The Morita–Baylis–Hillman Reaction. Angewandte Chemie, 135(18), [e202218565]. https://doi.org/10.1002/ange.202218565

Vancouver

Seumer J, Hansen JKS, Brøndsted Nielsen M, Jensen JH. Computational Evolution Of New Catalysts For The Morita–Baylis–Hillman Reaction. Angewandte Chemie. 2023;135(18). e202218565. https://doi.org/10.1002/ange.202218565

Author

Seumer, Julius ; Hansen, Jonathan Kirschner Solberg ; Brøndsted Nielsen, Mogens ; Jensen, Jan Halborg. / Computational Evolution Of New Catalysts For The Morita–Baylis–Hillman Reaction. I: Angewandte Chemie. 2023 ; Bind 135, Nr. 18.

Bibtex

@article{2d56e6e231c24e0fb428b89b6cb65ee2,
title = "Computational Evolution Of New Catalysts For The Morita–Baylis–Hillman Reaction",
abstract = "We present a de novo discovery of an efficient catalyst of the Morita–Baylis–Hillman (MBH) reaction by searching chemical space for molecules that lower the estimated barrier of the rate-determining step using a genetic algorithm (GA) starting from randomly selected tertiary amines. We identify 435 candidates, virtually all of which contain an azetidine N as the catalytically active site, which is discovered by the GA. Two molecules are selected for further study based on their predicted synthetic accessibility and have predicted rate-determining barriers that are lower than that of a known catalyst. Azetidines have not been used as catalysts for the MBH reaction. One suggested azetidine is successfully synthesized and showed an eightfold increase in activity over a commonly used catalyst. We believe this is the first experimentally verified de novo discovery of an efficient catalyst using a generative model.",
author = "Julius Seumer and Hansen, {Jonathan Kirschner Solberg} and {Br{\o}ndsted Nielsen}, Mogens and Jensen, {Jan Halborg}",
year = "2023",
doi = "10.1002/ange.202218565",
language = "English",
volume = "135",
journal = "Angewandte Chemie",
issn = "0044-8249",
publisher = "Wiley - V C H Verlag GmbH & Co. KGaA",
number = "18",

}

RIS

TY - JOUR

T1 - Computational Evolution Of New Catalysts For The Morita–Baylis–Hillman Reaction

AU - Seumer, Julius

AU - Hansen, Jonathan Kirschner Solberg

AU - Brøndsted Nielsen, Mogens

AU - Jensen, Jan Halborg

PY - 2023

Y1 - 2023

N2 - We present a de novo discovery of an efficient catalyst of the Morita–Baylis–Hillman (MBH) reaction by searching chemical space for molecules that lower the estimated barrier of the rate-determining step using a genetic algorithm (GA) starting from randomly selected tertiary amines. We identify 435 candidates, virtually all of which contain an azetidine N as the catalytically active site, which is discovered by the GA. Two molecules are selected for further study based on their predicted synthetic accessibility and have predicted rate-determining barriers that are lower than that of a known catalyst. Azetidines have not been used as catalysts for the MBH reaction. One suggested azetidine is successfully synthesized and showed an eightfold increase in activity over a commonly used catalyst. We believe this is the first experimentally verified de novo discovery of an efficient catalyst using a generative model.

AB - We present a de novo discovery of an efficient catalyst of the Morita–Baylis–Hillman (MBH) reaction by searching chemical space for molecules that lower the estimated barrier of the rate-determining step using a genetic algorithm (GA) starting from randomly selected tertiary amines. We identify 435 candidates, virtually all of which contain an azetidine N as the catalytically active site, which is discovered by the GA. Two molecules are selected for further study based on their predicted synthetic accessibility and have predicted rate-determining barriers that are lower than that of a known catalyst. Azetidines have not been used as catalysts for the MBH reaction. One suggested azetidine is successfully synthesized and showed an eightfold increase in activity over a commonly used catalyst. We believe this is the first experimentally verified de novo discovery of an efficient catalyst using a generative model.

U2 - 10.1002/ange.202218565

DO - 10.1002/ange.202218565

M3 - Journal article

VL - 135

JO - Angewandte Chemie

JF - Angewandte Chemie

SN - 0044-8249

IS - 18

M1 - e202218565

ER -

ID: 337690571