Network pharmacology prediction and molecular docking-based strategy to explore the pharmacodynamic substances and mechanism of "Mung Bean" against bacterial infection

Objective: The network pharmacology approach combined the technologies of molecular docking and in vitro bacteriostatic validation to explore the active compounds, core targets, and mechanism of Mung Bean against Bacterial infection.

Methods: A Mung Bean target and anti-bacterial infection-related gene set was established using TCMSP and GeneCards databases. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and protein-protein interaction network were performed using DAVID and STRING database. The combination of core targets and active compounds was predicted by molecular docking. The bacteriostatic experiment in vitro was performed to verify the Antibacterial activity of the active compounds.

Result: 32 potential targets and 5 active compounds of Mung Bean against Bacterial infection were obtained by bioinformatics analysis. Src, EGFR, and MAPK8 might be the candidate targets of Mung Bean. There were 137 GO items (p < 0.05) and 60 signaling pathways (p < 0.05) in GO and KEGG enrichment analysis. The PI3K-AKT pathway, TNF signaling pathway, MAPK signaling pathway might play a significant role in Mung Bean against Bacterial infection. Molecular docking results showed that sitosterol and vitamin-e had a high binding affinity with the core targets, which might be the key compounds of Mung bean. In vitro bacteriostatic experimental verified that vitamin-e had a significant bacteriostatic effect.

Conclusion: Sitosterol and vitamin-E in Mung bean might act on MAPK1, regulate inflammation and immune response to play a role in anti-bacterial Infection.

Mung Bean; anti-bacterial infection; in vitro bacteriostatic experimental; mechanisms of action; molecular docking; network pharmacology.