ArticleComputational and mathematical methods in medicine2022
Assessing the Mechanism of Action of "Fructus Ligustri Lucidi-Cuscutae Semen" in Prostate Cancer Treatment Using Network Pharmacology and Molecular Docking.
Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Article
- In Vitro and In Silico Evaluation of the Potential Anti-Prostate Cancer Activity ofInternational journal of molecular sciences · 2025Article
- Therapeutic roles and molecular mechanisms of Cuscutae Semen in reproductive diseases.Frontiers in immunology · 2025Review
- Gut microbiota metabolites and key target molecules in allergic rhinitis: a multi-omics study of gut-nose axis regulation via the inflammation-metabolism network.Frontiers in microbiology · 2025Article
- Mechanisms of breast cancer treatment using Gentiana robusta: evidence from comprehensive bioinformatics investigation.Scientific reports · 2024Article
- Network Pharmacology, Molecular Docking, and Molecular Dynamic-Based Investigation on the Mechanism of Compound Chrysanthemum in the Treatment of Asthenopia.Computational and mathematical methods in medicine · 2022Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To explore the mechanism of action of "Fructus Ligustri Lucidi-Cuscutae Semen" in the treatment of prostate cancer using network pharmacology and molecular docking. Methods: The active ingredients and targets of "Fructus Ligustri Lucidi-Cuscutae Semen" were obtained by searching the TCMSP and DrugBank databases. These were matched and corrected using the UniProt platform. A drug "active ingredient-target" network map was constructed using Cytoscape 3.8.0. Prostate cancer-related targets were acquired from GeneCards, Disgenet, DrugBank, and other databases. The protein-protein interaction (PPI) network between the drug and prostate cancer was constructed with BioGenet; the crossover network of the two targets was extracted derive the key targets of "Fructus Ligustri Lucidi-Cuscutae Semen" for prostate cancer treatment. We used the Metascape platform for GO and KEGG enrichment analysis of the key targets. AutoDockTools1.5.6 and PyMOL software were used to perform molecular docking. Results: We obtained 13 active ingredients, 221 drug targets, 1511 prostate cancer targets (including 221 key targets), and 305 KEGG pathways from "Fructus Ligustri Lucidi-Cuscutae Semen." Paclitaxel, quercetin, kaempferol, TP53, Conclusion: "Fructus Ligustri Lucidi-Cuscutae Semen" is a valuable clinical guide for the treatment of prostate cancer with multicomponent, multitarget, and multipathway characteristics.
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