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REVIEW article
Front. Genet.
Sec. Computational Genomics
Volume 15 - 2024 |
doi: 10.3389/fgene.2024.1450529
A comprehensive review of artificial intelligence for pharmacology research
Provisionally accepted- 1 College of Computer Science, Sichuan University, Chengdu, Sichuan Province, China
- 2 Department of Mathematics and Statistics, College of Science, De La Salle University, Manila, National Capital Region, Philippines
- 3 School of Computing, Ulster University, Belfast, United Kingdom
With the innovation and advancement of artificial intelligence, more and more artificial intelligence techniques are employed in drug research, biomedical frontier research, and clinical medicine practice, especially, in the field of pharmacology research. Thus, this review focuses on the applications of artificial intelligence in drug discovery, compound pharmacokinetic prediction, and clinical pharmacology. We briefly introduced the basic knowledge and development of artificial intelligence, presented a comprehensive review, and then summarized the latest studies and discussed the strengths and limitations of artificial intelligence models. Additionally, we highlighted several important studies and pointed out possible research directions.
Keywords: artificial intelligence, Pharmacology, Drug Discovery, compound pharmacokinetic prediction, Clinical Pharmacology
Received: 17 Jun 2024; Accepted: 26 Aug 2024.
Copyright: © 2024 Li, Tan, Lao, Wang, Zheng and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Huiru Zheng, School of Computing, Ulster University, Belfast, United Kingdom
Le Zhang, College of Computer Science, Sichuan University, Chengdu, 610065, Sichuan Province, China
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