Objective:Breast cancer is a malignant tumor endangering women’s safety and health.Clinical medication experience and related studies show that the drug pairs Tubeimu-Zhebeimu has an excellent therapeutic effect on p...Objective:Breast cancer is a malignant tumor endangering women’s safety and health.Clinical medication experience and related studies show that the drug pairs Tubeimu-Zhebeimu has an excellent therapeutic effect on patients with breast cancer,but its treatment mechanism is unclear.In this study,network pharmacology and molecular docking were used to analyze and explore the mechanism of“Tubeimu-Zhebeimu”in treating breast cancer.Methods:Traditional Chinese Medicine Database and Analysis Platform were used to retrieve the chemical constituents of Tubeimu and Zhebeimu,and the relevant targets were predicted through the Swiss Target Prediction Database.Searching the Gene cards,Therapeutic Target Database and Disgenet Database with the keywords“breast cancer”,“mammary cancer”and“mammary adenocarcinoma”obtain disease-related targets.We intersect the disease target with the drug target to obtain the potential drug therapy target.Then the data was imported into Cytoscape 3.9.1 software to construct a compound network of“Disease-Target-Component-Drug”,and the network.Subsequently,using the String Database a“protein-protein interaction network”was constructed and imported into Cytoscape 3.9.1 software for structural optimization and network topology analysis.DAVID was used for Gene Ontolog function enrichment and Kyoto Encyclopaedia of Genes and Genomes pathway enrichment analyses,and the results were visualized.The core targets were molecularly docked through AutoDockTools-1.5.6 software and Auto Dock Vina 1.1.2 software.Results:The results showed that the 20 active ingredients in the“Tubeimu-Zhebeimu”includingβ-sitosterol,Chaksine,saponins,and peimuocinine,can treat breast cancer through 139 potential targets including AKT1,AR,TP53,ESR1.Conclusion:The specific mechanism of the drug pairs Tubeimu-Zhebeimu treating breast cancer may be controlling human hormone levels,inducing cell apoptosis,and participating in the P53 protein signaling pathway and PI3K/Akt/mTOR signaling pathway.展开更多
目的:基于网络药理学探讨浙贝母-夏枯草治疗甲状腺结节(thyroid nodules)的作用机制。方法:在中药系统药理数据库和分析平台(traditional Chinese medicine systems pharmacology database and analysis platform, TCMSP)检索浙贝母、...目的:基于网络药理学探讨浙贝母-夏枯草治疗甲状腺结节(thyroid nodules)的作用机制。方法:在中药系统药理数据库和分析平台(traditional Chinese medicine systems pharmacology database and analysis platform, TCMSP)检索浙贝母、夏枯草的化学成分,利用PharmMapper数据库获取化学成分靶点,并采用Cytoscape 3.7.1软件构建“药物-活性成分-靶点”网络。基于Genecards数据库、在线人类孟德尔遗传数据库、治疗靶点数据库获得甲状腺结节相关靶点。将有效成分相关靶点与疾病靶点导入韦恩图网站进行在线分析,获得交集靶点,并利用STRING数据库构建蛋白互作网络(protein-protein interaction networks, PPI)模型,利用Cytoscape 3.7.1软件构建PPI网络并筛选核心靶点。将药物及其活性成分、交集靶点及疾病导入Cytoscape 3.7.1软件绘制成“药物-活性成分-交集靶点-疾病”网络图。利用Metascape数据库对交集靶点进行基因本体(gene ontology, GO)功能分析和京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes, KEGG)信号通路富集分析。采用AutoDock软件对关键靶点与活性成分进行分子对接。结果:浙贝母-夏枯草药对共15个活性成分,171个相关靶点。甲状腺结节疾病靶点1 563个。经韦恩图网站在线分析后得到浙贝母-夏枯草治疗甲状腺结节相关的靶点108个。交集靶点PPI网络分析得到AKT1、肿瘤蛋白P53(tumor protein P53,TP53)、丝裂原活化蛋白激酶1(mitogen-activated protein kinase 1,MAPK1)为核心靶点。GO富集分析得到生物过程1 705条、分子功能136条、细胞组分115条。KEGG富集分析获得202个信号通路。分子对接结果表明,浙贝母-夏枯草主要有效活性成分与靶点受体蛋白可以较好的结合。结论:浙贝母-夏枯草药对可通过多成分、多靶点、多通路治疗甲状腺结节。展开更多
文摘Objective:Breast cancer is a malignant tumor endangering women’s safety and health.Clinical medication experience and related studies show that the drug pairs Tubeimu-Zhebeimu has an excellent therapeutic effect on patients with breast cancer,but its treatment mechanism is unclear.In this study,network pharmacology and molecular docking were used to analyze and explore the mechanism of“Tubeimu-Zhebeimu”in treating breast cancer.Methods:Traditional Chinese Medicine Database and Analysis Platform were used to retrieve the chemical constituents of Tubeimu and Zhebeimu,and the relevant targets were predicted through the Swiss Target Prediction Database.Searching the Gene cards,Therapeutic Target Database and Disgenet Database with the keywords“breast cancer”,“mammary cancer”and“mammary adenocarcinoma”obtain disease-related targets.We intersect the disease target with the drug target to obtain the potential drug therapy target.Then the data was imported into Cytoscape 3.9.1 software to construct a compound network of“Disease-Target-Component-Drug”,and the network.Subsequently,using the String Database a“protein-protein interaction network”was constructed and imported into Cytoscape 3.9.1 software for structural optimization and network topology analysis.DAVID was used for Gene Ontolog function enrichment and Kyoto Encyclopaedia of Genes and Genomes pathway enrichment analyses,and the results were visualized.The core targets were molecularly docked through AutoDockTools-1.5.6 software and Auto Dock Vina 1.1.2 software.Results:The results showed that the 20 active ingredients in the“Tubeimu-Zhebeimu”includingβ-sitosterol,Chaksine,saponins,and peimuocinine,can treat breast cancer through 139 potential targets including AKT1,AR,TP53,ESR1.Conclusion:The specific mechanism of the drug pairs Tubeimu-Zhebeimu treating breast cancer may be controlling human hormone levels,inducing cell apoptosis,and participating in the P53 protein signaling pathway and PI3K/Akt/mTOR signaling pathway.
文摘目的:基于网络药理学探讨浙贝母-夏枯草治疗甲状腺结节(thyroid nodules)的作用机制。方法:在中药系统药理数据库和分析平台(traditional Chinese medicine systems pharmacology database and analysis platform, TCMSP)检索浙贝母、夏枯草的化学成分,利用PharmMapper数据库获取化学成分靶点,并采用Cytoscape 3.7.1软件构建“药物-活性成分-靶点”网络。基于Genecards数据库、在线人类孟德尔遗传数据库、治疗靶点数据库获得甲状腺结节相关靶点。将有效成分相关靶点与疾病靶点导入韦恩图网站进行在线分析,获得交集靶点,并利用STRING数据库构建蛋白互作网络(protein-protein interaction networks, PPI)模型,利用Cytoscape 3.7.1软件构建PPI网络并筛选核心靶点。将药物及其活性成分、交集靶点及疾病导入Cytoscape 3.7.1软件绘制成“药物-活性成分-交集靶点-疾病”网络图。利用Metascape数据库对交集靶点进行基因本体(gene ontology, GO)功能分析和京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes, KEGG)信号通路富集分析。采用AutoDock软件对关键靶点与活性成分进行分子对接。结果:浙贝母-夏枯草药对共15个活性成分,171个相关靶点。甲状腺结节疾病靶点1 563个。经韦恩图网站在线分析后得到浙贝母-夏枯草治疗甲状腺结节相关的靶点108个。交集靶点PPI网络分析得到AKT1、肿瘤蛋白P53(tumor protein P53,TP53)、丝裂原活化蛋白激酶1(mitogen-activated protein kinase 1,MAPK1)为核心靶点。GO富集分析得到生物过程1 705条、分子功能136条、细胞组分115条。KEGG富集分析获得202个信号通路。分子对接结果表明,浙贝母-夏枯草主要有效活性成分与靶点受体蛋白可以较好的结合。结论:浙贝母-夏枯草药对可通过多成分、多靶点、多通路治疗甲状腺结节。
