文献类型：期刊文献

英文题名：TCMIDP: A Comprehensive Database of Traditional Chinese Medicine for Network Pharmacology Research

作者：Ye, Lei[1]; Liu, Wenxiang[1]; Zheng, Yuhao[1]; Li, Jianhua[1]

机构：[1] East China University of Science and Technology, Shanghai, China

年份：2024

卷号：14910 LNCS

起止页码：34

外文期刊名：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

收录：EI(收录号：20243516950602)

语种：英文

外文关键词：Data mining

摘要：Network pharmacology is a research method based on biological information data and networks, which can reveal the mechanism of action of Traditional Chinese Medicine, and then discover more active substances with therapeutic effects. However, most of the existing TCM databases lack the collection of TCM prescription data and in-depth data mining and visualization for both TCM and its related information, leading to a limited support in network pharmacology research. In this paper we have constructed Traditional Chinese Medicine Information Database Platform (TCMIDP) for network pharmacology research. It is composed of TCM composition information database and Web-based built-in TCM network pharmacology module. The TCM composition information database collects hierarchical data which contains 4 kinds of TCM resource entities and 6 kinds of associations. In the Web-based TCM network pharmacology module, a visual interactive network diagram displays the data entities and their associations. To mine the TCM data in the above database, node mining and clustering analyses are provided for users to do network pharmacology research. The analyses result, coupled with the visual interactive network diagram can help exploring the 4 types of TCM resource entities that have key regulatory functions in the integrated information network of TCM. TCMIDP makes a significant contribution to data collection, data mining and visualization analysis of TCM, and provides more valuable information support for network pharmacology research. ? The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.