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药物重定位主题与发展的知识图谱。

Knowledge Mapping of Drug Repositioning's Theme and Development.

机构信息

Pharmacy Department, Tianjin Hospital, Tianjin, People's Republic of China.

Cardiology Department, Guang 'anmen Hospital, Chinese Academy of Traditional Chinese Medicine, Beijing, People's Republic of China.

出版信息

Drug Des Devel Ther. 2023 Apr 18;17:1157-1174. doi: 10.2147/DDDT.S405906. eCollection 2023.

Abstract

BACKGROUND

In recent years, the emergence of new diseases and resistance to known diseases have led to increasing demand for new drugs. By means of bibliometric analysis, this paper studied the relevant articles on drug repositioning in recent years and analyzed the current research foci and trends.

METHODOLOGY

The Web of Science database was searched to collect all relevant literature on drug repositioning from 2001 to 2022. These data were imported into CiteSpace and bibliometric online analysis platforms for bibliometric analysis. The processed data and visualized images predict the development trends in the research field.

RESULTS

The quality and quantity of articles published after 2011 have improved significantly, with 45 of them cited more than 100 times. Articles posted by journals from different countries have high citation values. Authors from other institutions have also collaborated to analyze drug rediscovery. Keywords found in the literature include molecular docking (N=223), virtual screening (N=170), drug discovery (N=126), machine learning (N=125), and drug-target interaction (N=68); these words represent the core content of drug repositioning.

CONCLUSION

The key focus of drug research and development is related to the discovery of new indications for drugs. Researchers are starting to retarget drugs after analyzing online databases and clinical trials. More and more drugs are being targeted at other diseases to treat more patients, based on saving money and time. It is worth noting that researchers need more financial and technical support to complete drug development.

摘要

背景

近年来,新疾病的出现和已知疾病的耐药性导致对新药的需求不断增加。本研究采用文献计量分析方法,对近年来药物重定位的相关文献进行研究,分析当前的研究焦点和趋势。

方法

检索 Web of Science 数据库,收集 2001 年至 2022 年有关药物重定位的所有相关文献。将这些数据导入 CiteSpace 和文献计量在线分析平台进行文献计量分析。处理后的数据和可视化图像预测了研究领域的发展趋势。

结果

2011 年后发表的文章质量和数量有了显著提高,其中 45 篇文章的引用次数超过 100 次。来自不同国家期刊的文章具有较高的引用值。来自其他机构的作者也合作分析了药物再发现。文献中的关键词包括分子对接(N=223)、虚拟筛选(N=170)、药物发现(N=126)、机器学习(N=125)和药物-靶标相互作用(N=68);这些词代表了药物重定位的核心内容。

结论

药物研发的关键重点与药物新适应症的发现有关。研究人员开始在分析在线数据库和临床试验后对药物进行重新定位。更多的药物被针对其他疾病进行治疗,以节省金钱和时间,从而治疗更多的患者。值得注意的是,研究人员需要更多的资金和技术支持来完成药物开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09f3/10122475/285ae2cbebaa/DDDT-17-1157-g0002.jpg

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