Geometric deep learning-guided Suzuki reaction conditions assessment for applications in medicinal chemistry-Reference-Cited by-同舟云学术

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Geometric deep learning-guided Suzuki reaction conditions assessment for applications in medicinal chemistry

Published:2024 Issue:7 Volume:15 Page:2310-2321
ISSN:2632-8682
Container-title:RSC Medicinal Chemistry
language:en
Short-container-title:RSC Med. Chem.

Author:

Atz Kenneth¹^ORCID,Nippa David F.¹^ORCID,Müller Alex T.¹^ORCID,Jost Vera¹,Anelli Andrea¹^ORCID,Reutlinger Michael¹^ORCID,Kramer Christian¹^ORCID,Martin Rainer E.¹^ORCID,Grether Uwe¹^ORCID,Schneider Gisbert²^ORCID,Wuitschik Georg¹^ORCID

Affiliation:

1. Roche Pharma Research and Early Development (pRED), Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland

2. Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 4, 8093 Zurich, Switzerland

Abstract

Machine learning-predicted screening plate.

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/MD/D4MD00196F

Reference73 articles.

1. Organic synthesis provides opportunities to transform drug discovery

2. The Logic of Chemical Synthesis: Multistep Synthesis of Complex Carbogenic Molecules(Nobel Lecture)

3. Computer-Assisted Design of Complex Organic Syntheses

4. Analysis of Past and Present Synthetic Methodologies on Medicinal Chemistry: Where Have All the New Reactions Gone?

5. Expanding the medicinal chemistry synthetic toolbox

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