Kinase Inhibitor Scaffold Hopping with Deep Learning Approaches-Reference-Cited by-同舟云学术

Kinase Inhibitor Scaffold Hopping with Deep Learning Approaches

Published:2021-09-29 Issue:10 Volume:61 Page:4900-4912
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Hu Lizhao¹²,Yang Yuyao³²,Zheng Shuangjia⁴^ORCID,Xu Jun¹²,Ran Ting³^ORCID,Chen Hongming³^ORCID

Affiliation:

1. School of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, China

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

3. Center of Cell Lineage and Atlas, Bioland Laboratory (Guangzhou Regenerative Medicine and Health—Guangdong Laboratory), Guangzhou 510530, China

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

Funder

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

Guang Dong Frontiers & Key Techn. 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.1c00608

Reference47 articles.

1. The Protein Kinase Complement of the Human Genome

2. Kinase mutations in human disease: interpreting genotype–phenotype relationships

3. Ten things you should know about protein kinases: IUPHAR Review 14

4. Kinase Drug Discovery – What’s Next in the Field?

5. Protein kinases — the major drug targets of the twenty-first century?

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