Computational pharmacology and bioinformatics to explore the potential mechanism of Schisandra against atherosclerosis

The present study uses network pharmacology to study the potential mechanism of Schisandra against atherosclerosis. Drug-disease targets were explored through the traditional Chinese medicine systemic pharmacology network. STRING database and Cytoscape software were employed to construct a component/pathway-target interaction network to screen the key regulatory factors from Schisandra. For cellular, biological and molecular pathways, Gene Ontology (GO) and KEGG pathway analyses were used while the interceptive acquaintances of the pathways was obtained through Metascape database. Initial molecular docking analyses of components from Schisandra pointed the possible interaction of non-muscle myosin ⅡA (NM ⅡA) against atherosclerosis. The screening results from GO and KEGG identified 525 possible targets of 18 active ingredients from Schisandra that further pointed 1451 possible pathways against the pathogenesis of disease whereas 167 targets were further refined based on common/interesting signaling target pathways. Further results of molecular signaling by docking identified very compatible binding between NM IIA and the constituents of Schisandra. Schisandra has a possible target of the serotonergic synapse, neuroactive ligand-receptor interaction and also has close interference in tumor pathways through PTGS2, NOS3, HMOX1 and ESR1. Moreover, it is also concluded that Schisandra has a close association with neuroendocrine, immune-inflammation and oxidative stress. Therefore, it may have the potential of therapeutic utility against atherosclerosis.