标准化
中医药
计算机科学
数据提取
中草药
过程(计算)
相似性(几何)
数据科学
数据挖掘
数据库
医学
情报检索
传统医学
梅德林
人工智能
替代医学
生物
病理
图像(数学)
操作系统
生物化学
作者
Yufeng Chen,Yu Shi,Chengbang Liang,Zhuochao Min,Qiqi Deng,Rui Yu,Jianyi Zhang,Kexin Chang,Luyao Chen,Ke Yan,Chunxiang Wang,Yan Tan,Xu Wang,Jianxin Chen,Qian Hua
标识
DOI:10.1016/j.phrs.2024.107080
摘要
Thanks to the advancements in bioinformatics, drugs, and other interventions that modulate microbes to treat diseases have been emerging continuously. In recent years, an increasing number of databases related to traditional Chinese medicine (TCM) and gut microbes have been established. However, a database combining the two has not yet been developed. To accelerate TCM research and address the traditional medicine and micro ecological system connection between short board, we have developed the most comprehensive micro-ecological database of TCM. This initiative includes the standardization of the following advantages: (1) A repeatable process achieved through the standardization of a retrieval strategy to identify literature. This involved identifying 419 experiment articles from PubMed and six authoritative databases; (2) High-quality data integration achieved through double-entry extraction of literature, mitigating uncertainties associated with natural language extraction; (3) Implementation of a similar strategy aiding in the prediction of mechanisms of action. Leveraging drug similarity, target entity similarity, and known drug-target entity association, our platform enables the prediction of the effects of a new TCM or acupoint prescription using the existing data. In total, MicrobeTCM includes 171 diseases, 725 microbes, 1468 herb-formulas, 1032 herbs, 15780 chemical compositions, 35 acupoint-formulas, and 77 acupoints. For further exploration, please visit https://www.microbetcm.com.
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