背景(考古学)
系统药理学
中医药
机制(生物学)
生物网络
计算机科学
数据科学
药理学
医学
药品
计算生物学
替代医学
生物
古生物学
病理
哲学
认识论
作者
Jing Zhao,Jian Yang,Sai Tian,Weidong Zhang
出处
期刊:Quantitative Biology
[Springer Science+Business Media]
日期:2019-03-01
卷期号:7 (1): 17-29
被引量:21
标识
DOI:10.1007/s40484-019-0167-8
摘要
Background Traditional Chinese medicine (TCM) treats diseases in a holistic manner, while TCM formulae are multi‐component, multi‐target agents at the molecular level. Thus there are many parallels between the key ideas of TCM pharmacology and network pharmacology. These years, TCM network pharmacology has developed as an interdisciplinary of TCM science and network pharmacology, which studies the mechanism of TCM at the molecular level and in the context of biological networks. It provides a new research paradigm that can use modern biomedical science to interpret the mechanism of TCM, which is promising to accelerate the modernization and internationalization of TCM. Results In this paper we introduce state‐of‐the‐art free data sources, web servers and softwares that can be used in the TCM network pharmacology, including databases of TCM, drug targets and diseases, web servers for the prediction of drug targets, and tools for network and functional analysis. Conclusions This review could help experimental pharmacologists make better use of the existing data and methods in their study of TCM.
科研通智能强力驱动
Strongly Powered by AbleSci AI