AccScience Publishing / GPD / Volume 2 / Issue 1 / DOI: 10.36922/gpd.v1i3.201
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Application of artificial intelligence in drug repositioning

Qingkai Hu1* Xianfang Wang2* Yifeng Liu2 Yu Sang1 Dongfang Zhang1
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1 College of Computer Science and Technology, Henan Institute of Technology, Xinxiang, Henan, 453000, China
2 College of Management, Henan Institute of Technology, Xinxiang, Henan, 453000, China
Submitted: 21 September 2022 | Accepted: 21 October 2022 | Published: 7 November 2022
© 2022 by the Author(s). Licensee AccScience Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( )

The use of artificial intelligence technologies in biology, pharmacy, and medicine has brought about a dramatic change in these industries. Drug repositioning is a method of drug development in the process of applying existing therapeutic agents to new diseases. This paper first outlines the use of artificial intelligence technology in the field of drug repositioning, then reviews a variety of application methods of artificial intelligence in the realm of drug repositioning, and finally summarizes the advantages and disadvantages of these methods, and proposes the difficulties faced by artificial intelligence in drug repositioning in the future and the corresponding suggestions to achieve the goal of helping researchers to develop more effective methods of drug repositioning.

Drug repositioning
Drug targets
Deep learning
Artificial intelligence
Drug target interaction
National Natural Science Foundation of China
Natural Science Foundation of Henan Province

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Conflict of interest
The authors declare that they have no competing interests.
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Gene & Protein in Disease, Electronic ISSN: 2811-003X Print ISSN: TBA, Published by AccScience Publishing