Activity Prediction of Small Molecule Inhibitors for Antirheumatoid Arthritis Targets Based on Artificial Intelligence-Reference-Cited by-同舟云学术

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Activity Prediction of Small Molecule Inhibitors for Antirheumatoid Arthritis Targets Based on Artificial Intelligence

Published:2020-11-04 Issue:12 Volume:22 Page:873-886
ISSN:2156-8952
Container-title:ACS Combinatorial Science
language:en
Short-container-title:ACS Comb. Sci.

Author:

Xing Guomeng¹,Liang Li¹,Deng Chenglong¹,Hua Yi¹,Chen Xingye¹,Yang Yan¹,Liu Haichun¹,Lu Tao¹²,Chen Yadong¹^ORCID,Zhang Yanmin¹^ORCID

Affiliation:

1. Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, 639 Longmian Avenue, Nanjing 211198, China

2. State Key Laboratory of Natural Medicines, China Pharmaceutical University, 24 Tongjiaxiang, Nanjing 210009, China

Funder

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

?Double World-classes? Construction Program of China Pharmaceutical University

State Key Laboratory Innovation Research and Cultivation

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acscombsci.0c00169

Reference65 articles.

1. Rheumatoid arthritis

2. Synthesis and Biological Activities of Chemical Drugs for the Treatment of Rheumatoid Arthritis

3. Treatment with Biologicals in Rheumatoid Arthritis: An Overview

4. EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2019 update

5. Immunometabolism in the development of rheumatoid arthritis

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