Prediction of the anti-hepatic fibrosis mechanism of the active components of Meconopsis punicea Maxim based on network pharmacology and molecular docking
Objective To study the mechanism of Meconopsis punicea Maxim against hepatic fibrosis by using network pharmacology and molecular docking techniques.Methods The main active components and targets of Meconopsis punicea Maxim were obtained from TCMSP,SwissTarget and PubChem databases,the targets of hepatic fibrosis related diseases were obtained from GeneCards and OMIM databases,and then the intersection common targets were obtained by Venny2.1.The protein interaction network of common target was constructed by importing it into STRING database.The"component-target-disease"pathway network was constructed by using Cytoscape3.6.1 software.Finally,AutoDocktools(v1.5.6)was used to verify the molecular docking between core components and key targets.Results A total of 117 active ingredient targets and 6 423 disease targets were obtained,and a total of 251 targets were obtained after intersecting the two.GO and KEGG pathway enrichment analysis showed that the active ingredients of Meconopsis punicea Maxim may be involved in AGE-RAGE,chemoattractant-receptor activation,PI3K-AKT and other signaling pathways to reverse hepatic fibrosis.The molecular docking showed that the core components of Meconopsis punicea Max-im had good binding capacity to the key targets such as SRC,HSP9OAA1,MAPK1 and MAPK3.Conclusion Meconopsis punicea Maxim may act on key targets such as SRC,HSP9OAA1,MAPK1 and MAPK3 to exert anti-hepatic fibrosis effects through AGE-RAGE,lipid and atherosclerosis,chemoattractant-receptor activa-tion,PI3K-AKT and other signaling pathways.
Meconopsis punicea MaximHepatic fibrosisMechanism of actionNetwork phar-macologyMolecular docking
万方数据
维普
