Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks-Reference-Cited by-同舟云学术

Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks

Published:2019-12-11 Issue:1 Volume:60 Page:47-55
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Zheng Shuangjia¹²^ORCID,Rao Jiahua²,Zhang Zhongyue²,Xu Jun¹³^ORCID,Yang Yuedong²⁴^ORCID

Affiliation:

1. Research Center for Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, 132 East Circle at University City, Guangzhou 510006, China

2. School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China

3. School of Computer Science & Technology, Wuyi University, 99 Yingbin Road, Jiangmen 529020, China

4. Key Laboratory of Machine Intelligence and Advanced Computing, Sun Yat-sen University, Ministry of Education, Guangzhou 510000, China

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Program for Guangdong Introducing Innovative and Entrepreneurial Teams

GD Frontier & Key Tech Innovation Program

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.9b00949

Reference40 articles.

1. LXIII.—A synthesis of tropinone

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