AUTHOR=Li Bing , Tan Kan , Lao Angelyn R. , Wang Haiying , Zheng Huiru , Zhang Le TITLE=A comprehensive review of artificial intelligence for pharmacology research JOURNAL=Frontiers in Genetics VOLUME=15 YEAR=2024 URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2024.1450529 DOI=10.3389/fgene.2024.1450529 ISSN=1664-8021 ABSTRACT=
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.