Network Pharmacology of Mongolian Medicine Ran Agar-8

Objective: To further explore the relevant mechanism of action by using network pharmacology and animal experiments. Methods: To predict and screen the potential active ingredients of Mongolian medicine Ran agar-8 powder and its therapeutic targets for bronchial asthma using TCMSP, SwissTargetPredition, Batmant-TCM, GeneCards, OMIM, PharmGkb, TTD and Drug⁃ bank databases. STRING database was used for Protein-proteininteraction (PPI) analysis, and Metascape database was used for GO functional annotation and KEGG pathway enrichment analysis. Results: A total of 54 potentially active ingredients and 2862 disease targets of bronchial asthma were selected, and 181 common targets of bronchial asthma were predicted by veny diagram. Ten core targets including TNF, AKT1, IL6, TP53, IL1B, CASP3, BCL2, PTGS2, HIF1A and MMP9 were identified by PPI network analysis. 10 key components such as quercetin, Β -sitosterol, kaonaphthol, luteolin, stigsterol, meso-1, 4-bis- (4-hydroxy-3-methoxyphenyl) -2, 3-dimethylbutane, naringin, lupine palmitate, cystine, and baicalin were obtained through the

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Publication Details

Journal
International Journal of Clinical and Experimental Medicine Research
Published
2024-08-16
DOI
https://doi.org/10.26855/ijcemr.2024.07.013
Citations
1
Primary Topic
Chromatography in Natural Products
Type
article
Field-Weighted Citation Impact
0.24
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article

Network Pharmacology of Mongolian Medicine Ran Agar-8

Perenlei Molor-Erdene, Long Yin, Ts Tuvshinjargal
1 citations
International Journal of Clinical and Experimental Medicine Research
Chromatography in Natural Products
0.24
article

Network Pharmacology of Mongolian Medicine Ran Agar-8

Perenlei Molor-Erdene, Long Yin, Ts Tuvshinjargal
article en
1 citations

Abstract

Objective: To further explore the relevant mechanism of action by using network pharmacology and animal experiments. Methods: To predict and screen the potential active ingredients of Mongolian medicine Ran agar-8 powder and its therapeutic targets for bronchial asthma using TCMSP, SwissTargetPredition, Batmant-TCM, GeneCards, OMIM, PharmGkb, TTD and Drug⁃ bank databases. STRING database was used for Protein-proteininteraction (PPI) analysis, and Metascape database was used for GO functional annotation and KEGG pathway enrichment analysis. Results: A total of 54 potentially active ingredients and 2862 disease targets of bronchial asthma were selected, and 181 common targets of bronchial asthma were predicted by veny diagram. Ten core targets including TNF, AKT1, IL6, TP53, IL1B, CASP3, BCL2, PTGS2, HIF1A and MMP9 were identified by PPI network analysis. 10 key components such as quercetin, Β -sitosterol, kaonaphthol, luteolin, stigsterol, meso-1, 4-bis- (4-hydroxy-3-methoxyphenyl) -2, 3-dimethylbutane, naringin, lupine palmitate, cystine, and baicalin were obtained through the

International Journal of Clinical and Experimental Medicine ResearchVol. 8(3)
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Openalex Percentile: Top 50%
Chromatography in Natural Products
0.24
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