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- W4367011636 abstract "[Objective] This study aimed to investigate the mechanism of action of Eucommia ulmoides extract in treating atherosclerosis using network pharmacology and molecular docking technology. [Methods] The researchers screened the chemical active ingredients of Eucommia ulmoides using the TCMSP platform and collected the corresponding targets of these active ingredients using the Swiss Target Prediction platform. They searched for relevant targets of atherosclerosis in the DisGeNET, GeneCards, TTD, OMIM, Drug Bank, and Pharmgkb databases and obtained common targets between the two using the Venny platform. These common targets were then used to construct a protein interaction network and a core target network using Cytoscape 3.8.0, and topological parameters were obtained. GO and KEGG pathway enrichment analyses were performed using DAVID, and the results were visualized using bioinformatics and Omicshare platforms. The researchers also constructed and analyzed the active ingredient-target-disease network model using Cytoscape 3.8.0 software. Finally, AutoDock and Pymol software were used for molecular docking of important components and core targets to predict their binding ability. [Results] The researchers screened 27 active ingredients from Eucommia ulmoides, and found 206 common targets between atherosclerosis and active ingredients. These targets were mainly related to the Protestations in cancer, Prostate cancer, and Endocrine resistance pathways, among which AKT1 had the highest affinity for β-sitosterol. [Conclusion] This study suggests that multiple active ingredients in Eucommia ulmoides extract may exert various effects in the treatment of atherosclerosis. The findings provide a scientific basis for further development of clinical applications of Eucommia ulmoides extract." @default.
- W4367011636 created "2023-04-27" @default.
- W4367011636 date "2023-01-01" @default.
- W4367011636 modified "2023-10-07" @default.
- W4367011636 title "Exploring the Molecular Mechanisms of Eucommia Ulmoides Extract in Treating Atherosclerosis Based on Network Pharmacology and Molecular Docking Technology" @default.
- W4367011636 doi "https://doi.org/10.23977/medsc.2023.040301" @default.
- W4367011636 hasPublicationYear "2023" @default.
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