Wei Wei , Chao Song , Changxing Qi , Xin Zhang , Xiaoyi Zhang , Run Pu , Yi Ao
{"title":"Visual analysis of drug research and development based on artificial intelligence","authors":"Wei Wei , Chao Song , Changxing Qi , Xin Zhang , Xiaoyi Zhang , Run Pu , Yi Ao","doi":"10.1016/j.jhip.2024.12.002","DOIUrl":null,"url":null,"abstract":"<div><div>The iteration of artificial intelligence (AI) technology provides new opportunities for drug research and experimental development. In recent years, AI-based drug research has continuously made new progress and has garnered widespread attention. This study retrieved data from a total of 23,096 papers in AI-based drug research and development from the Web of Science up to May 14, 2024, and conducted bibliometric analysis using VOSviewer software. The results indicated that the AI-based drug research and development is a globally recognized hotspot, and the United States holds a certain authority in this field, while China ranks second in total publication output. The integration of AI technology with drug development primarily involves four stages: drug discovery, preclinical research, clinical trials, and drug manufacturing. So, AI technology has been applied throughout the entire process of drug development. AI-based virtual drug screening and structure-activity relationship analysis started early, while graph neural networks, pre-trained models (Transformer), interpretable AI technology, ChatGPT, and large language models were significantly highlighted in the last 3 years. Moreover, since 2020, AI-based drug repurposing, molecular dynamics simulation, 3D printing, and drug delivery system design have emerged as research hotspots and have been mainly applied to, particularly, on COVID-19, disease prognosis, liver cancer, lung cancer, and immunotherapy.</div></div>","PeriodicalId":100787,"journal":{"name":"Journal of Holistic Integrative Pharmacy","volume":"5 4","pages":"Pages 323-332"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Holistic Integrative Pharmacy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2707368824000657","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The iteration of artificial intelligence (AI) technology provides new opportunities for drug research and experimental development. In recent years, AI-based drug research has continuously made new progress and has garnered widespread attention. This study retrieved data from a total of 23,096 papers in AI-based drug research and development from the Web of Science up to May 14, 2024, and conducted bibliometric analysis using VOSviewer software. The results indicated that the AI-based drug research and development is a globally recognized hotspot, and the United States holds a certain authority in this field, while China ranks second in total publication output. The integration of AI technology with drug development primarily involves four stages: drug discovery, preclinical research, clinical trials, and drug manufacturing. So, AI technology has been applied throughout the entire process of drug development. AI-based virtual drug screening and structure-activity relationship analysis started early, while graph neural networks, pre-trained models (Transformer), interpretable AI technology, ChatGPT, and large language models were significantly highlighted in the last 3 years. Moreover, since 2020, AI-based drug repurposing, molecular dynamics simulation, 3D printing, and drug delivery system design have emerged as research hotspots and have been mainly applied to, particularly, on COVID-19, disease prognosis, liver cancer, lung cancer, and immunotherapy.