2019
DOI: 10.1155/2019/4637839
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Mechanisms of Compound Kushen Injection for the Treatment of Lung Cancer Based on Network Pharmacology

Abstract: Background. Compound Kushen Injection (CKI) is a Chinese patent drug that shows good efficacy in treating lung cancer (LC). However, its underlying mechanisms need to be further clarified. Methods. In this study, we adopted a network pharmacology method to gather compounds, predict targets, construct networks, and analyze biological functions and pathways. Moreover, molecular docking simulation was employed to assess the binding potential of selected target-compound pairs. Results. Four networks were establish… Show more

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Cited by 35 publications
(29 citation statements)
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“…In recent years, virtual pharmacology research was regarded as the fastest and most effective screening method in the early study of drug effectiveness. 21,23,[28][29][30][31][32] Gentianella acuta is an old drug commonly used for treating hepatitis and carcinoma. Therefore, in this study, Gentiopicroside was employed to study the gastric cancer enriching mechanism by network pharmacology approach.…”
Section: Discussionmentioning
confidence: 99%
“…In recent years, virtual pharmacology research was regarded as the fastest and most effective screening method in the early study of drug effectiveness. 21,23,[28][29][30][31][32] Gentianella acuta is an old drug commonly used for treating hepatitis and carcinoma. Therefore, in this study, Gentiopicroside was employed to study the gastric cancer enriching mechanism by network pharmacology approach.…”
Section: Discussionmentioning
confidence: 99%
“…To identify the compound targets of YZG, we chose two widely used databases: STITCH and TCMSP. STITCH ( https://stitch.embl.de/ ) is a database of known and predicted interactions between compounds and protein, and is based on text mining and molecular docking techniques [ 21 ]. STITCH has been used to explore the potential active components and to explain the molecular mechanism of TCM.…”
Section: Methodsmentioning
confidence: 99%
“…Through the NetworkAnalyzer plug-in of the Cytoscape 3.7.0 platform [12], the degree values of each node in the network diagrams were calculated. The degree value represents the number of nodes that directly interact with a node in the network; the greater the degree value of a node in a network, the greater the role of this node in the network [13].…”
Section: Construction Of a Chemical Component-target Networkmentioning
confidence: 99%
“…The gene names of the potential targets were entered into the STRING database [15] to obtain the protein-protein interactions (PPIs), which were further imported to the Cytoscape 3.7.0 platform to perform network topology analysis using the Cytohubba plug-in [16] [16]. The degree value of a protein is directly related to the importance of it, and proteins with high degree values tend to be key proteins [13]. Hence, the network topology analysis was used to arrange the nodes of the PPI network diagrams in descending order of the degree values to obtain the target ranking in this study.…”
Section: Network Topology Analysis Of Potential Targetsmentioning
confidence: 99%