Explore on artificial intelligence in Drug Design: Bibliometric study

Background and Aims: In recent years, artificial intelligence has been recognized as a transformative tool in drug design. The aim of this study is to identify research patterns, prominent authors, and key publications in the field of artificial intelligence and drug design. The results of this study can help decision-makers in the pharmaceutical industry to identify new trends in the drug design process. Methods: This study used a small amount of bibliometrics. The Web of Science Core Collection database was selected for data extraction. The data extraction date was March ۱۴, ۲۰۲۵. A comprehensive search strategy and keywords related to artificial intelligence and drug design were used to retrieve all articles. Terms were selected using Medical Subject Headings (MeSH) and for a more precise search, synonyms of drug design and artificial intelligence were also used. Finally, ۱۹۲۷ publications were transferred to Biblioshiny and VOSviewer software for bibliometric analysis. Results: The first article on drug design and artificial intelligence was published in ۱۹۹۱ and the publication trend continued until ۲۰۲۵. The annual growth rate of these articles was ۱۲.۳۹%. These articles were published by ۴۷۷ journals and ۵۹۸۸ authors. The Journal of Chemical Information and Modeling played an important role in the publication of these articles with ۱۳۰ articles. China, the United States and India are the most active countries in producing these articles. The Chinese Academy of Sciences was the most active among the institutions and the Schneider Gisbert author in producing these articles. The most frequently used keywords in these articles are: «Machine Learning», «Drug

کلیدواژه ها:

Artificial Intelligence ، Drug Design ، Bibliometric Study