Accelerated Reactivity Mechanism and Interpretable Machine Learning Model of N-Sulfonylimines toward Fast Multicomponent Reactions-Reference-Cited by-同舟云学术

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Accelerated Reactivity Mechanism and Interpretable Machine Learning Model of N-Sulfonylimines toward Fast Multicomponent Reactions

Published:2020-10-19 Issue:21 Volume:22 Page:8480-8486
ISSN:1523-7060
Container-title:Organic Letters
language:en
Short-container-title:Org. Lett.

Author:

Jethava Krupal P.^ORCID,Fine Jonathan,Chen Yingqi,Hossain Ahad,Chopra Gaurav^ORCID

Funder

National Center for Advancing Translational Sciences

National Cancer Institute

Division of Industrial Innovation and Partnerships

Purdue University Center for Cancer Research

Purdue University

Ralph W. and Grace M. Showalter Research Trust Fund

Indiana Clinical and Translational Sciences Institute

Publisher

American Chemical Society (ACS)

Subject

Organic Chemistry,Physical and Theoretical Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.orglett.0c03083

Reference58 articles.

1. Computer-Assisted Design of Complex Organic Syntheses

2. Using Machine Learning To Predict Suitable Conditions for Organic Reactions

3. Controlling an organic synthesis robot with machine learning to search for new reactivity

4. Machine-learning approaches in drug discovery: methods and applications

5. Prediction of Compound Profiling Matrices Using Machine Learning

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unraveling the Potential of Cyclic N‐Sulfonyl Ketimines in the MCR Universe;European Journal of Organic Chemistry;2024-07-31

2. Structure Based Machine Learning Prediction of Retention Times for LC Method Development of Pharmaceuticals;Pharmaceutical Research;2024-02

3. Photoinduced decatungstate-catalyzed direct coupling of cycloalkanes and cyclic aldimines;Green Synthesis and Catalysis;2023-10

4. External photocatalyst-free C-H alkylation of N-sulfonyl ketimines with alkanes under visible light;Chinese Chemical Letters;2023-09

5. Progress of Artificial Intelligence in Drug Synthesis and Prospect of Its Application in Nitrification of Energetic Materials;Molecules;2023-02-16

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