Page 7 - GPD-2-1

Gene & Protein in Disease

REVIEW ARTICLE
Application of artificial intelligence in drug

repositioning

Qingkai Hu *, Xianfang Wang *, Yifeng Liu , Yu Sang , and Dongfang Zhang 1
2
1
1
2
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

Abstract
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.

Keywords: Drug repositioning; Drug targets; Deep learning; Artificial intelligence; Drug
target interaction

*Corresponding authors:
Qingkai Hu
(hiekay@163.com)
Xianfang Wang 1. Introduction
(2wangfang@163.com)
More and more artificial intelligence technologies have been applied in the medical field
Citation: Hu Q, Wang X, Liu Y, in recent years. Artificial intelligence technology was first applied in pharmaceutical
et al., 2023, Application of artificial
intelligence in drug repositioning. research and development in the field of health care, and has been widely used and
Gene Protein Dis, 2(1):201. developed in many areas such as drug mining, drug dispensing, health management,
https://doi.org/10.36922/gpd.v1i3.201 assisted diagnosis and treatment, and even the rational use of clinical drugs. With the
Received: September 21, 2022 exponential growth of modern technology, artificial intelligence technology has also
Accepted: October 21, 2022 quietly entered the ranks of drug repositioning.
Published Online: November 7, 2022
Drug repositioning (also known as drug reconfiguration or drug repurposing) is the
Copyright: © 2022 Author(s).
[1]
This is an Open Access article process of taking an existing drug and treating it for a new disease . Drug repositioning
distributed under the terms of the can save R&D time and development costs compared to conventional drug development
Creative Commons Attribution methods. A major benefit of drug repositioning is that it is safe for humans in clinical
License, permitting distribution,
and reproduction in any medium, models and has a low failure rate because only the effectiveness of the drug is tested
[2]
provided the original work is against a specific disease . In addition, repositioned drugs save the early cost and time
properly cited. required to bring medicines to market, thereby accelerating the transition from basic

Publisher’s Note: AccScience research efforts to clinical treatments. Nosengo et al. concluded that it currently takes
Publishing remains neutral with 13 – 15 years to bring new drugs to market, costs between $2 and $3 billion, and is
regard to jurisdictional claims in [3]
published maps and institutional increasing in cost . However, the average cost of repositioning a drug is only $300
affiliations. million and takes about 6.5 years to enter the market.

Volume 2 Issue 1 (2023) 1 https://doi.org/10.36922/gpd.v1i3.201