| EXPERIMENTAL RESEARCH ARTICLE
|Year : 2022 | Volume
| Issue : 2 | Page : 110-117
Evaluation of the mechanism of Rujiling capsules in the treatment of hyperplasia of mammary glands based on network pharmacology and molecular docking
Mili Shi, Yue Ma, Pin Xu
Department of Pharmacy, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, Yunnan, China
OBJECTIVE: The present study aimed to elucidate the molecular network mechanism of the Rujiling capsule in the treatment of hyperplasia of mammary glands through network pharmacology and molecular docking.
MATERIALS AND METHODS: TCMSP and TCMID databases were screened for the active components and their action targets of the Rujiling capsule, whereas the disease targets of hyperplasia of mammary glands were searched in GeneCard and DisGeNET databases. Venny software was employed to identify the common targets of drugs and diseases. Cytoscape software was used to construct the network pharmacological diagram of “drug-active components-target” and the intersection targets were subjected to protein–protein interaction analysis by STRING platform and Cytoscape software. The DAVID database was exploited for gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis of the intersection target. After that, the key target genes with a degree value greater than the median were verified with the active components in molecular docking.
RESULTS: A total of 691 drug targets, 251 disease targets, and 108 intersection targets were obtained after retrieval and screening. Among the 686 items enriched by GO included 522 biological processes, 110 molecular functions, and 54 cellular components. At the same time, 114 signal pathways were enriched by KEGG. The results of molecular docking revealed that the docking energies of main active components and some core targets were all <–5 kcal/mol.
CONCLUSION: Henceforth, highlighted the role of the Rujiling capsule in the treatment of hyperplasia of mammary glands through multiple components, multiple targets, and multiple signal pathways.
Dr. Mili Shi
Sixth Affiliated Hospital of Kunming Medical University, Yuxi 653100, Yunnan
Source of Support: None, Conflict of Interest: None
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