*Research funding, *Computer software, Therapeutic use of ginseng, Computer-assisted molecular modeling, Proteins, Pharmaceutical chemistry, Treatment effectiveness, Cellular signal transduction, Plant extracts, Genes, Bioinformatics, Central nervous system diseases, Ginseng, Evaluation

Central nervous system diseases pose a significant threat to human health. Clinical observations have demonstrated that celabenzine, the primary active component of the natural plant ginseng, can potentially alleviate cognitive dysfunction in patients with central nervous system disorders. However, the specific mechanisms of its action remain unclear. The PubMed database was used to identify the targets of celabenzine. Subsequently, a Venn diagram of intersecting targets was constructed by utilizing the identified central nervous system injury targets. Additionally, Cytoscape software (version 3.7.2) was used to construct active ingredient-target and Protein-protein interaction networks. The Metascape database was used to perform Gene Ontology functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. Molecular docking was performed on active ingredients and target genes. Network pharmacology analysis revealed that celabenzine shares 175 intersecting targets with central nervous system damage, manifesting its effects through PI3K-Akt and MAPK signaling pathways and proteoglycans in the cancer pathway. Celabenzine demonstrates a strong binding affinity with its target gene, RhoA, indicating stable binding. This study was accomplished using network pharmacology and bioinformatics. Our findings suggested that celabenzine shows its protective effects against central nervous system damage by modulating the RhoA gene. [ABSTRACT FROM AUTHOR]

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