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2000
Volume 21, Issue 19
  • ISSN: 1570-1808
  • E-ISSN: 1875-628X

Abstract

Background and Objective

Hepatocellular carcinoma (HCC) is a common hepatic malignant tumor severely affecting the life and health of people globally. Radix Sophorae Flavescentis (RSF) is a Chinese herbal medicine widely utilized in China. However, its main ingredients and mechanism have not been fully illustrated. The current study explored the potential mechanism of RSF treating HCC through network pharmacology, molecular docking, and molecular dynamics simulation.

Materials and Methods

The potential RSF active compounds and the corresponding targets were retrieved from TCMSP, TCMID, HERB, ETCM, and BATMAN-TCM databases. HCC-related target genes were primarily mined using GeneCards and OMIM databases. The intersection target genes of RSF and HCC were collected, and the protein-protein interaction (PPI) network was constructed to obtain the core target genes of RSF in HCC. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed on the core targets. The network analysis results were verified through molecular docking and molecular dynamics simulation using active compounds and core targets.

Results

In this study, 23 potentially active ingredients of RSF and 203 corresponding targets of the active ingredients were mined, and 4594 HCC-related target genes were finally identified. Thereinto, quercetin, luteolin, formononetin, and 8-isopentenyl-kaempferol were predicted to be the core targets, and 61 core targets such as TP53, JUN, HSP90AA1, AKT1, MAPK1, RELA, TNF, and ESR1 were further screened through PPI network analysis. GO enrichment and KEGG pathway analysis revealed that the treatment of HCC with RSF mainly involved the receptor signaling pathway of vascular endothelial growth factor, cytoplasm, protein domain specific binding, and other biological processes. Signaling pathways included pathways in cancer, Hepatitis B, IL-17 signaling pathway, . Molecular docking and molecular dynamics simulations validated the above results.

Conclusion

This study elucidated the potential mechanism of RSF in the HCC treatment through network pharmacology, molecular docking, and molecular dynamics simulation, thereby offering valuable insights for future clinical investigations.

© 2024 Bentham Science Publishers
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Predicting the Potential Mechanism of Radix Sophorae Flavescentis Treating Hepatocellular Carcinoma Based on the Strategies of Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation
Letters in Drug Design & Discovery 21, 4726 (2024); https://doi.org/10.2174/0115701808359324241221182323
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  • Article Type:     Research Article
Keyword(s): Chinese herb; Hepatocellular carcinoma; molecular docking; molecular dynamics simulation; network pharmacology; radix sophorae flavescentis

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