ArticleJournal of the Egyptian National Cancer Institute2025
Integrative network pharmacology and experimental validation reveal emodin derivatives as potential therapeutics for hepatocellular carcinoma.
Article in Journal of the Egyptian National Cancer Institute, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
- Hepatoprotective evaluation of benzoylated emodin derivatives: Integrating bioinformatics andBioMedicine · 2026Article
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Authors and funding
10 authors.
Funding
Abstract
backgroundHepatocellular carcinoma (HCC) is a major global health concern due to its high prevalence and mortality rate. Although emodin, a natural anthraquinone derivative, has demonstrated in vitro anticancer activity against HCC cells, its specific molecular targets in HCC remain unclear.
methodThis study used an integrated approach combining in silico network pharmacology, molecular docking, molecular dynamics simulations (MDS), and in vitro cytotoxicity assays to evaluate three emodin derivatives: emodin, 3-acetyl emodin (ACE), and 1,3,8-triacetyl emodin (TAEM). Target predictions were performed using the SwissTargetPrediction database, and HCC-related genes were retrieved from cBioPortal. Functional annotations (Gene Ontology and Reactome) identified EGFR and KIT as key targets. Docking simulations were conducted to assess binding affinities, followed by 100 ns MDS to evaluate stability. Cytotoxic effects on HepG2 cells were also assessed.
resultTAEM showed the strongest binding affinity to both EGFR and KIT and demonstrated the highest cytotoxicity against HepG2 cells (IC50 = 0.021 mM). MDS results indicated that the KIT-TAEM complex was the most stable among all tested combinations, supported by RMSD, RMSF, Rg, protein-ligand distance, and MM-GBSA binding energy analyses.
conclusionThese findings highlight TAEM as a promising therapeutic candidate for HCC. The study demonstrates the value of integrating computational predictions with experimental validation in early-stage drug discovery.
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