Abstract
Background: Ginseng is one of the top-selling natural products worldwide and has been shown to have significant effects. Nonetheless, there is limited research on American ginseng when compared to Asian ginseng. A small number of studies have demonstrated the therapeutic benefits of American ginseng, which include antioxidant, anti-inflammatory, and immune-stimulating activities.
Objective: The objective of our research is to predict the molecular mechanism by which American ginseng combats Type 2 diabetes mellitus (T2DM) using Network Pharmacology and Molecular Docking techniques. By doing so, we aim to reveal one of the comprehensive mechanisms through which American ginseng exerts its therapeutic effects.
Methods: We conducted a search for related compounds in American ginseng using the TCMSP database, which we then utilized to classify potential targets for the major ingredients. We obtained targets associated with T2DM from various databases, including PharmGKB, OMIM, TTD, GeneCards, and DrugBank. Using STRING and Cytoscape software, we constructed PPI networks. We subsequently performed GO and KEGG analysis on the targets using the R programming language. Ligand and target structures were acquired from PubChem and PDB databases, respectively. Chem3D and AutoDock software was used to process the structures, while PyMoL was employed for molecular docking analysis.
Results: Several investigations have indicated that PTGS2, NFKBIA, PRKCA, IL1B, NCOA2, and LPL targets are significantly associated with American ginseng's effectiveness in treating T2DM. Molecular docking analysis further validated these findings. We discovered three active components with highaffinity, namely papaverine, ginsenoside-rh2, and beta-sitosterol.
Conclusion: The outcomes of our predictions could contribute to the development of American ginseng or its active constituents as an alternative therapy for T2DM.
