The Mechanism of Andrographis paniculata in the Treatment of Influenza Explored via Network Pharmacology and Molecular Docking.
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 sys...
| Publicado en: | BioMed Research International Vol. 2025; pp. 1 - 14 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
12/21/2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190409676&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190409676 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 12/21/2025 vid: 2025 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 190409676 190409676 190409676 10.1155/bmri/5752130 190409676 ppf: 1 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: The Mechanism of Andrographis paniculata in the Treatment of Influenza Explored via Network Pharmacology and Molecular Docking. aug: au: Tian, Lan-ling Zhang, Man-lin Wang, Cong Banerjee, Baisakhi affil: Department of Microbiology and Immunology, , School of Basic Medicine, , Dali University, , Dali, China, dali.edu.cn sug: subj: Influenza Drug Therapy Network Pharmacology Molecular Docking Simulation Plants, Medicinal Plant Extracts Human Proteins Physiology Ontologies Bioinformatics Phosphorylation Data Analysis Software Funding Source ab: 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. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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