Abstract
Baolier Capsule (BLEC) is a Traditional Mongolian Medicine comprising of fifteen herbs. In China, this medicine has been used to treat CAD for many years. However, the molecular mechanism of BLEC in the treatment of CAD is not yet fully understood. Hence, this study aims to illustrate the synergistic mechanism of BLEC in the treatment of CAD by using network pharmacology method and molecular docking. Searching and screening the active ingredients of different herbs in BLEC and target genes related to CAD in multiple databases. Subsequently, STRING and Cytoscape were used to analyze and construct the PPI network. In addition, clustering and topological analysis are used to analyze the PPI network. Then, using R project for GO and KEGG enrichment analysis. Finally, AutoDock was used to verify the binding ability between the active ingredient and the key target through molecular docking. There are 144 active components and 80 CAD-related targets that are identified in BLEC in the treatment of CAD. What is more, 8 core genes (AKT1, EGFR, FOS, etc.) were obtained by clustering and topological analysis. Further, GO and KEGG analysis showed that fluid shear stress and atherosclerosis is the key pathways for RWW to treat CAD. These results were validated by molecular docking method. Our research firstly revealed the basic pharmacological effects and relevant mechanisms of the BLEC in the treatment of CAD. The prediction results might facilitate the development of BLEC or its active compounds as alternative therapy for CAD. Our research first revealed the basic pharmacological effects and related mechanisms of BLEC in the treatment of CAD. The predicted results provide some theoretical support for BLEC or its important active ingredients to treat CAD.