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@article{178327,
        author = {Ritesh Jagtap and Rutuja Jagdale and Snehal Koli and Shweta Jamdade and Gaytri Botre and Pallavi Kavitake and Dr. A.N. Panaskar},
        title = {Network Pharmacology of Ar-Turmerone},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {4579-4588},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178327},
        abstract = {Network pharmacology is a systems-level approach to drug discovery that transcends the traditional "one drug–one target" paradigm by exploring multi-target interactions among genes, proteins, and pathways. This study leverages network pharmacology integrated with molecular docking to evaluate the therapeutic potential of Ar-turmerone, a bioactive compound derived from Curcuma longa, against cancer-related targets.
Using SMILES input, SwissADME and SwissTargetPrediction tools were employed to identify pharmacokinetic properties and molecular targets of Ar-turmerone. Disease-associated genes were retrieved from DisGeNET, Malacards, and OMIM databases. Comparative analysis through Venny highlighted five overlapping genes: ESR1, BRCA2, PIK3CA, TP53, and CDH1. Protein-protein interaction (PPI) networks were constructed using STRING and further analyzed in Cytoscape using centrality measures to determine key regulatory nodes.
Pathway enrichment via Reactome revealed that Ar-turmerone potentially modulates two critical pathways: Constitutive PI3K/AKT signaling (associated with PIK3CA mutations in cancers) and extra-nuclear estrogen signaling (mediated by ESR1). These pathways are essential in cancer progression, cell proliferation, apoptosis resistance, and metastasis.
The integration of computational and systems biology tools in this study underlines the promising multi-targeted therapeutic potential of Ar-turmerone and demonstrates the value of network pharmacology in natural product-based drug discovery.},
        keywords = {Network Pharmacology, gene,Ar-turmerone},
        month = {May},
        }