Current perspectives and trend of computer-aided drug design: a review and bibliometric analysis

作者：Zhenhui Wu, Shupeng Chen, Yihao Wang, Fangyang Li, Huanhua Xu, Maoxing Li, Yingjian Zeng, Zhenfeng Wu, Yue Gao · 发表于：International Journal of Surgery · 年份：2024 · DOI：10.1097/js9.0000000000001289 · 被引用次数：76 · 研究领域：Computational Drug Discovery Methods、Pharmacogenetics and Drug Metabolism、Receptor Mechanisms and Signaling

AIM: Computer-aided drug design (CADD) is a drug design technique for computing ligand-receptor interactions and is involved in various stages of drug development. To better grasp the frontiers and hotspots of CADD, we conducted a review analysis through bibliometrics. METHODS: A systematic review of studies published between 2000 and 20 July 2023 was conducted following the PRISMA guidelines. Literature on CADD was selected from the Web of Science Core Collection. General information, publications, output trends, countries/regions, institutions, journals, keywords, and influential authors were visually analyzed using software such as Excel, VOSviewer, RStudio, and CiteSpace. RESULTS: A total of 2031 publications were included. These publications primarily originated from 99 countries or regions led by the U.S. and China. Among the contributors, MacKerell AD had the highest number of articles and the greatest influence. The Journal of Medicinal Chemistry was the most cited journal, whereas the Journal of Chemical Information and Modeling had the highest number of publications. CONCLUSIONS: Influential authors in the field were identified. Current research shows active collaboration between countries, institutions, and companies. CADD technologies such as homology modeling, pharmacophore modeling, quantitative conformational relationships, molecular docking, molecular dynamics simulation, binding free energy prediction, and high-throughput virtual screening can effectively imp...