Exploring Chemical Reaction Space with Machine Learning Models: Representation and Feature Perspective-Reference-Cited by-同舟云学术

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Exploring Chemical Reaction Space with Machine Learning Models: Representation and Feature Perspective

Published:2024-03-15 Issue:8 Volume:64 Page:2955-2970
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Ding Yuheng¹,Qiang Bo¹,Chen Qixuan¹,Liu Yiqiao¹,Zhang Liangren¹^ORCID,Liu Zhenming¹^ORCID

Affiliation:

1. Department of Pharmaceutical Science, Peking University, Beijing 100191, China

Funder

National Key Research and Development Program of China

State Key Laboratory of Pharmaceutical Biotechnology

Peking University Health Science-StoneWise Technology Joint Laboratory Project

Beijing AI Health Cultivation Project

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.4c00004

Reference209 articles.

1. The Synthesis of Bovine Insulin by the Solid Phase Method1

2. The centenary of Wöhler's synthesis of urea (1828–1928)

3. Synthetic hydrogels: Synthesis, novel trends, and applications

4. Dioxygen Activation under Ambient Conditions: Cu-Catalyzed Oxidative Amidation−Diketonization of Terminal Alkynes Leading to α-Ketoamides

5. Deoxyfluorination of 1°, 2°, and 3° Alcohols by Nonbasic O–H Activation and Lewis Acid-Catalyzed Fluoride Shuttling

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1. Anti‐inflammatory effects of natural products from vitamin C‐rich fruits;Food Frontiers;2024-09-04

2. Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects;Machine Learning with Applications;2024-09

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