Deep Learning Enhancing Kinome-Wide Polypharmacology Profiling: Model Construction and Experiment Validation-Reference-Cited by-同舟云学术

Deep Learning Enhancing Kinome-Wide Polypharmacology Profiling: Model Construction and Experiment Validation

Published:2019-07-31 Issue:16 Volume:63 Page:8723-8737
ISSN:0022-2623
Container-title:Journal of Medicinal Chemistry
language:en
Short-container-title:J. Med. Chem.

Author:

Li Xutong¹²,Li Zhaojun¹³,Wu Xiaolong¹⁴,Xiong Zhaoping¹⁵,Yang Tianbiao¹²,Fu Zunyun¹²,Liu Xiaohong¹⁵,Tan Xiaoqin¹²,Zhong Feisheng¹²,Wan Xiaozhe¹²,Wang Dingyan¹²,Ding Xiaoyu¹²,Yang Ruirui¹⁵,Hou Hui¹⁶,Li Chunpu¹,Liu Hong¹^ORCID,Chen Kaixian¹⁵,Jiang Hualiang¹⁵,Zheng Mingyue¹^ORCID

Affiliation:

1. Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China

2. University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China

3. School of Information Management, Dezhou University, 566 West University Road, Dezhou 253023, China

4. School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China

5. School of Life Science and Technology, ShanghaiTech University, 393 Huaxiazhong Road, Shanghai 200031, China

6. School of Pharmacy, Fudan University, 826 Zhangheng Road, Shanghai 201203, China

Funder

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

National Natural Science Foundation of China

Chinese Academy of Sciences

?Personalized Medicines?Molecular Signature-based Drug Discovery and Development?

State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University

Publisher

American Chemical Society (ACS)

Subject

Drug Discovery,Molecular Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jmedchem.9b00855

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