{"title":"Overview and limitations of database in global traditional medicines: A narrative review.","authors":"Xiao-Lan Li, Jian-Qing Zhang, Xuan-Jing Shen, Yu Zhang, De-An Guo","doi":"10.1038/s41401-024-01353-1","DOIUrl":null,"url":null,"abstract":"<p><p>The study of traditional medicine has garnered significant interest, resulting in various research areas including chemical composition analysis, pharmacological research, clinical application, and quality control. The abundance of available data has made databases increasingly essential for researchers to manage the vast amount of information and explore new drugs. In this article we provide a comprehensive overview and summary of 182 databases that are relevant to traditional medicine research, including 73 databases for chemical component analysis, 70 for pharmacology research, and 39 for clinical application and quality control from published literature (2000-2023). The review categorizes the databases by functionality, offering detailed information on websites and capacities to facilitate easier access. Moreover, this article outlines the primary function of each database, supplemented by case studies to aid in database selection. A practical test was conducted on 68 frequently used databases using keywords and functionalities, resulting in the identification of highlighted databases. This review serves as a reference for traditional medicine researchers to choose appropriate databases and also provides insights and considerations for the function and content design of future databases.</p>","PeriodicalId":6942,"journal":{"name":"Acta Pharmacologica Sinica","volume":" ","pages":""},"PeriodicalIF":6.9000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Pharmacologica Sinica","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41401-024-01353-1","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The study of traditional medicine has garnered significant interest, resulting in various research areas including chemical composition analysis, pharmacological research, clinical application, and quality control. The abundance of available data has made databases increasingly essential for researchers to manage the vast amount of information and explore new drugs. In this article we provide a comprehensive overview and summary of 182 databases that are relevant to traditional medicine research, including 73 databases for chemical component analysis, 70 for pharmacology research, and 39 for clinical application and quality control from published literature (2000-2023). The review categorizes the databases by functionality, offering detailed information on websites and capacities to facilitate easier access. Moreover, this article outlines the primary function of each database, supplemented by case studies to aid in database selection. A practical test was conducted on 68 frequently used databases using keywords and functionalities, resulting in the identification of highlighted databases. This review serves as a reference for traditional medicine researchers to choose appropriate databases and also provides insights and considerations for the function and content design of future databases.
期刊介绍:
APS (Acta Pharmacologica Sinica) welcomes submissions from diverse areas of pharmacology and the life sciences. While we encourage contributions across a broad spectrum, topics of particular interest include, but are not limited to: anticancer pharmacology, cardiovascular and pulmonary pharmacology, clinical pharmacology, drug discovery, gastrointestinal and hepatic pharmacology, genitourinary, renal, and endocrine pharmacology, immunopharmacology and inflammation, molecular and cellular pharmacology, neuropharmacology, pharmaceutics, and pharmacokinetics. Join us in sharing your research and insights in pharmacology and the life sciences.