Strategy of Discovering Active Ingredient in Traditional Chinese Medicine under Guidance of Network Pharmacology

VernacularTitle:网络药理学指导下的中药有效成分发现策略
Author: Kuokui SONG ; Tian BI ; Xiaori ZHAN ; Zhiyong LI ; Junwen WANG ; Wei HE ; Yuanyuan TONG ; Yanwen LI
Publication Type:Journal Article
Keywords: Network pharmacology; Chinese medicine ingredient; targeted separation; new drug discovery
From: World Science and Technology-Modernization of Traditional Chinese Medicine 2014;(1):27-31
CountryChina
Language:Chinese
Abstract: Network pharmacology is an emerging discipline based on the Disease-Gene-Drug multilevel network. And it has been used to forecast the drug targets and improve the efficiency of drug discovery. Its research ideas are similar to the overall efficacy of traditional Chinese medicine (TCM), which attracts more and more medical re-searchers to look for the joint point of TCM and network pharmacology. A series of approaches on disease-related genes, predicting the information of target and active ingredients of TCM emerge. In this paper, the network pharma-cology research tools, databases and their applications were summarized and introduced. This paper also proposed scientific strategies to separate active ingredients of TCM using network pharmacology, so as to improve the efficiency and speed of finding active ingredients of TCM.