Objective: Based on network pharmacology, the study aims to explore the potential target and signaling pathway of pterostilbene against Alzheimer's disease(AD). Methods: Swiss Target Prediction database was used to screen the potential targets of pterostilbene; Gene Cards database was used to retrieve the relevant targets of Alzheimer’s disease; Venny2.1 website was employed to obtain the intersection of drug-disease target genes; STRING database was used to construct the protein-protein interaction (PPI) network of common genes; Cytoscape 3.7.2 software was utilized for visualization and analysis of the pterostilbene-target network; DAVID database was employed for gene ontology (GO) enrichment analysis and kyoto gene and genome encyclopedia (KEGG) signaling pathway enrichment analysis of common genes; Online tools were used to draw GO and KEGG pathway enrichment analysis diagrams. Results: By database screening, 100 potential targets of pterostilbene and 14472 Alzheimer’s disease-related targets were obtained, among which 88 were identified as potential targets of pterostilbene in Alzheimer’s disease. Base on the analysis of Betweenness, ESR1, EGFR, MAPT, PTGS2 and BCL2 were core targets. Enrichment analysis showed that endocrine resistance, neurotrophin signaling pathway and prolactin signaling pathway were highly involved. Conclusion: Pterostilbene may regulate endocrine resistance and neurotrophic signaling pathways through core targets such as ESR1, EGFR, MAPT, PTGS2 and BCL2 to exert its protective effect against Alzheimer’s disease.