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Overview and limitations of database in global traditional medicines: A narrative review. | LitMetric

Overview and limitations of database in global traditional medicines: A narrative review.

Acta Pharmacol Sin

Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.

Published: August 2024

AI Article Synopsis

  • This text talks about a study that looks into traditional medicine and how it has created interest in research areas like chemical analysis, pharmacology, and clinical uses.
  • It introduces a total of 182 databases that help researchers gather and understand information about traditional medicine, breaking them down into different categories based on what they do.
  • The article also shares information on how researchers can choose the best databases for their work and gives updates on some of the commonly used databases based on tests with keywords.

Article 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.

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Source
http://dx.doi.org/10.1038/s41401-024-01353-1DOI Listing

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