The Development and growth of AI technology has bring about a significant improvement in the effectiveness of data analysis. The creation of databases related to drugs and diseases are dependent on the Internet. Exploring the effects and mechanisms of the triple drug combination of Salvia miltiorrhiza - Scutellaria baicalensis - Polygonum cuspidatum (SSP) on the treatment of atherosclerosis by network pharmacology. The TCMSP database was utilized in searching the active ingredients and corresponding targets of SSP, and the OMIM, GeneGards, and Drug Bank databases were applied to search for atherosclerosis (AS)-related gene targets, to construct the network of intersecting targets with active constituents of traditional Chinese medicines(TCM) and Protein Interaction Mapping, and to carry out the analysis of the GO biofunctionality and KEGG pathway enrichment, and molecular docking technology to project the binding ability of active ingredients of SSP to potential targets. The main signalling pathways and proteins involved in SSP treatment of AS include Proteoglycans in cancer, Interleukin (IL-17), Tumour Necrosis Factor (TNF), PI3K-Akt, MAPK, and TNF. Conclusion The active ingredients of SSP co-medicine may play therapeutic roles in atherosclerosis by means of acting on core targets such as STAT3, AKT1, IL6, IL1B, EGFR, and signalling pathways such as AGE-RAGE/TNF. The target linkage between drugs and diseases provides the basis for rational drug administration by predicting the course of disease for subsequent sequencing of patient genomes.