Leveraging Regio- and Stereoselective C(sp<sup>3</sup>)–H Functionalization of Silyl Ethers to Train a Logistic Regression Classification Model for Predicting Site-Selectivity Bias-Reference-Cited by-同舟云学术

Leveraging Regio- and Stereoselective C(sp³)–H Functionalization of Silyl Ethers to Train a Logistic Regression Classification Model for Predicting Site-Selectivity Bias

Published:2022-08-17 Issue:34 Volume:144 Page:15549-15561
ISSN:0002-7863
Container-title:Journal of the American Chemical Society
language:en
Short-container-title:J. Am. Chem. Soc.

Author:

Boni Yannick T.¹^ORCID,Cammarota Ryan C.²^ORCID,Liao Kuangbiao¹^ORCID,Sigman Matthew S.²^ORCID,Davies Huw M. L.¹^ORCID

Affiliation:

1. Department of Chemistry, Emory University, 1515 Dickey Drive, Atlanta, Georgia 30322, United States

2. Department of Chemistry, University of Utah, 315 South 1400 East, Salt Lake City, Utah 84112, United States

Funder

Center for Selective C-H Functionalization, National Science Foundation

Publisher

American Chemical Society (ACS)

Subject

Colloid and Surface Chemistry,Biochemistry,General Chemistry,Catalysis

Link

https://pubs.acs.org/doi/pdf/10.1021/jacs.2c04383

Reference127 articles.

1. Retrosynthetic strategies and their impact on synthesis of arcutane natural products

2. Direct Catalytic Asymmetric Aldol Reaction

3. The Direct Organocatalytic Asymmetric Mannich Reaction: Unmodified Aldehydes as Nucleophiles

4. The direct catalytic asymmetric aldol reaction

5. Recent advances in organocatalytic asymmetric Michael reactions

Cited by 17 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. Stereoselective Synthesis of Silyl Enol Ethers with Acylsilanes and α,β-Unsaturated Ketones;Organic Letters;2024-07-08

2. AI for organic and polymer synthesis;Science China Chemistry;2024-06-26

3. Valence-isomer selective cycloaddition reaction of cycloheptatrienes-norcaradienes;Nature Communications;2024-03-14

4. Catalytic asymmetric carbenoid α-C–H insertion of ether;RSC Advances;2024

5. Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learning;Nature Chemistry;2023-11-23