ArticleIranian journal of pharmaceutical research : IJPR
Integrating Network Pharmacology and Experimental Validation to Identifying Key Herbal Components and Targets for Liver Cancer.
Article in Iranian journal of pharmaceutical research : IJPR. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Pharmacological Effects and Proposed Mechanisms ofLife (Basel, Switzerland) · 2026Review
- Review
- Elucidating the PTK2-Targeted Anti-Hepatocellular Carcinoma Effects ofCurrent issues in molecular biology · 2026Article
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Authors and funding
5 authors.
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Abstract
Background: Traditional Chinese medicines (TCMs) offer a comprehensive approach to managing malignant tumors. Objectives: The present study aims to predict the high-frequency herbs, core components, and core targets for liver cancer treatment through data mining and network pharmacology. Methods: The "traditional Chinese Medicine - active components - target - disease" network was established using Cytoscape to identify core components. A protein-protein interaction (PPI) network was constructed using the STRING database, and Cytoscape was used for network topological analysis to identify the core targets. Subsequently, molecular docking was performed using AutoDock Vina and PyMOL to calculate binding energies of core components with core targets. Furthermore, in vitro experiments explored quercetin's impact on liver cancer cell migration, apoptosis, and protein expression. Results: A total of 50 high-frequency drugs were selected. Among these, Conclusions: This study provides a foundational basis for future clinical application of TCMs in liver cancer treatment.
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