| Sumario: | Objective: The objective of this study is to investigate the potential mechanisms of Andrographis paniculata in treating influenza using network pharmacology and molecular docking approaches. Methods: The active components of A. paniculata were identified through the traditional Chinese medicine systems pharmacology database (TCMSP), and potential targets were predicted using SwissTargetPrediction. Gene targets associated with influenza were obtained from the GeneCards and OMIM databases. Venny 2.1.0 was used to create a Venn diagram to determine overlapping targets between A. paniculata and influenza. A "drug–component–target" interaction network was constructed using Cytoscape 3.7.2. A protein–protein interaction (PPI) network was developed with STRING 12.0 and visualized using Cytoscape 3.9.1 to identify core genes. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted via the DAVID database, and the results were visualized using an online bioinformatics platform. Molecular docking was performed between major components and core targets using AutoDock 4.2.6 software. Results: A total of 24 active components of A. paniculata were identified, yielding 646 predicted drug targets, 1876 influenza‐associated gene targets, and 176 intersecting targets. GO enrichment analysis revealed 919 terms, primarily related to inflammatory responses and protein phosphorylation. KEGG analysis identified 173 enriched pathways, notably those related to lipid metabolism, atherosclerosis, and cancer. The principal active compounds demonstrated strong binding affinities with the core targets. Conclusion: A. paniculata may exert therapeutic effects against influenza by acting on core targets, such as TNF, IL‐6, AKT1, GAPDH, and STAT3. These findings provide a scientific foundation for the application of traditional Chinese medicine in the treatment of influenza.
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