ArticleScientific reports2020
Network pharmacology based virtual screening of active constituents of Prunella vulgaris L. and the molecular mechanism against breast cancer.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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31 citing papers in PubMed, 87 citations in OpenAlex.
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- Combination of RNA-sequencing data analysis, network pharmacology, molecular docking techniques to investigate the mechanism of Prunella vulgaris L. in the treatment of non-small cell lung cancer.Discover oncology · 2025Article
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- Total flavonoids of Astragalus protects glomerular filtration barrier in diabetic kidney disease.Chinese medicine · 2024Article
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- Unveiling the anti-obesity potential of Kemuning (Murraya paniculata): A network pharmacology approach.PloS one · 2024Article
- Mechanisms of single herbs and herbal pairs in the treatment of mammary gland hyperplasia: An integrated review.Heliyon · 2023Review
- Exploring the mechanism of active components from ginseng to manage diabetes mellitus based on network pharmacology and molecular docking.Scientific reports · 2023Article
- Effects and Potential Mechanism of Zhuyu Pill Against Atherosclerosis: Network Pharmacology and Experimental Validation.Drug design, development and therapy · 2023Article
- Flavonoid extract Kushenol a exhibits anti-proliferative activity in breast cancer cells via suppression of PI3K/AKT/mTOR pathway.Cancer medicine · 2023Article
- Therapeutic effects on cancer of the active ingredients in rhizoma paridis.Frontiers in pharmacology · 2023Review
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Authors and funding
10 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Prunella vulgaris L, a perennial herb widely used in Asia in the treatment of various diseases including cancer. In vitro studies have demonstrated the therapeutic effect of Prunella vulgaris L. against breast cancer through multiple pathways. However, the nature of the biological mechanisms remains unclear. In this study, a Network pharmacology based approach was used to explore active constituents and potential molecular mechanisms of Prunella vulgaris L. for the treatment of breast cancer. The methods adopted included active constituents prescreening, target prediction, GO and KEGG pathway enrichment analysis. Molecular docking experiments were used to further validate network pharmacology results. The predicted results showed that there were 19 active ingredients in Prunella vulgaris L. and 31 potential gene targets including AKT1, EGFR, MYC, and VEGFA. Further, analysis of the potential biological mechanisms of Prunella vulgaris L. against breast cancer was performed by investigating the relationship between the active constituents, target genes and pathways. Network analysis showed that Prunella vulgaris L. exerted a promising preventive effect on breast cancer by acting on tumor-associated signaling pathways. This provides a basis to understand the mechanism of the anti-breast cancer activity of Prunella vulgaris L.
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