Research on Network Pharmacology of Flavonoids from Glycyrrhiza uralensis
- VernacularTitle:甘草中黄酮类化合物的网络药理学研究
- Author:
Xia ZHANG
1
;
Fang ZHANG
2
;
Jianjun ZHAO
1
;
Jingjiao YONG
1
;
Xiaojuan GAO
1
;
Wenhua ZHANG
3
;
Hanqing WANG
4
Author Information
1. School of Pharmacy，Ningxia Medical University，Yinchuan 750004，China;Key Lab of Hui Ethnic Medicine Modernization，Ministry of Education，Yinchuan 750004，China
2. School of Pharmacy，Nanjing University of TCM，Nanjing 210023，China
3. Bairuiyuan Gouqi Co.，Ltd.，Yinchuan 750299，China
4. School of Pharmacy，Ningxia Medical University，Yinchuan 750004，China
- Publication Type:Journal Article
- Keywords:
Glycyrrhiza uralensis;
Network pharmacology;
Flavonoids;
Target protein;
Signaling pathway
- From:
China Pharmacy
2019;30(11):1529-1534
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE： To analyze and predict potential pharmacological effects and mechanism of flavonoids from Glycyrrhiza uralensis. METHODS： By the means of network pharmacology， according to TCM integrative pharmacology platform （TCMSP）， using oral bioavailability （OB）＞30％ and drug-likeness （DL）＞0.18 of compound as reference， flavonoids compound of G. uralensis were screened. The potential targets of flavonoids were predicted with pharmacophore matching and PharmMapper date base. DAVID V 6.8 analysis tool was used for KEGG signaling pathway analysis and GO biological process enrichment analysis （using P＜0.05 as judgement standard） of target protein. A flavonoids-targets-signaling pathways network was built through Cytoscape 3.5.1 software. RESULTS： A total of 19 flavonoids compounds （such as liquiritin， isoliquiritin and liquiritigenin， etc.） were screened， involving 78 target proteins as cellular retinoic acid-binding protein 2 and neprilysin （188 times in total）， 40 signaling pathways （among them， 8 pathways related to cancer， 8 pathways related to endocrine system， 6 pathways related to signal transduction， 5 pathways related to infectious diseases and 3 pathways related to metabolism） as insulin signaling pathway， PI3K-Akt and so on. The flavonoids-targets-signaling pathways network model showed that flavonoids compounds of G. uralensis could act on different metabolic pathways through multiple targets. CONCLUSIONS： The flavonoids of G. uralensis have therapeutic effect on diseases of cancer， endocrine system， infectious diseases， metabolism and so on. It may have potential anti-parkinson’s effect.
