1 Department of Pharmacognosy, Thanthai Roever College of Pharmacy, Perambalur, Tamil Nadu, India.
2 Department of Pharmacognosy, Faculty of Pharmacy, Thanthai Roever College of Pharmacy, Perambalur, Tamil Nadu, India.
3 Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Thanthai Roever College of Pharmacy, Perambalur, Tamil Nadu, India.
4 Department of Pharmaceutics, Faculty of Pharmacy, Thanthai Roever College of Pharmacy, Perambalur, Tamil Nadu, India.
Received on 20 December 2025; revised on 03 February 2026; accepted on 05 February 2026
Background: The way drug discovery is conducted has evolved from a singular focus on monotherapy to a more advanced approach which utilizes polypharmacology. The development of such an approach is critical to drug development, especially to drug development which is based on phytocompounds which targets multiple pathways at once.
Objective: The aim of this paper is to conduct a narrative review on the use of network pharmacology poly pharmaceutical approaches to phytocompounds, starting from molecular profiling to therapeutic use.
Methods: We conduct a narrative review on the current approach to the identification of active phytochemicals, bioactive compound screening, and drug discovery by network pharmacology. The review details experimental workflows, computational network pharmacology, database network pharmacology, and validation approaches which network pharmacology to drug development.
Results: The application of network pharmacology to drug discovery has resulted in the refinement of methodologies used to elucidate functional polypharmacy and phytocompounds targeted complex interactions. Notable refinements advanced in bioactivity screening, linkable pharmacochemical repositories, and holistic omics frameworks. Multiple case studies show the delineation of herbal medicine action and the discovery of connected disease network therapeutic fusions. Synthesizing current bioinformatics enables rational, structure-based prediction of the protein in gene-protein interactions
Network Pharmacology; Polypharmacology; Phytocompounds; Herbal Medicines; Systems Pharmacology; Multi-Target Drug Discovery; Traditional Chinese Medicine (TCM); Ayurvedic Formulations; ProteinβProtein Interaction Networks; DrugβTarget Networks; Bioactive Natural Products; Molecular Docking; Systems Biology; Computational Pharmacology; Drug Repurposing; Omics Integration; Artificial Intelligence in Drug Discovery
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M. Bhuvanesh, T.Uma, S. Vinoth Kumar and R. Nepolean. From phytocompounds to poly-pharmacology: A narrative review on network pharmacology. GSC Biological and Pharmaceutical Sciences, 2026, 34(2), 066-074. Article DOI: https://doi.org/10.30574/gscbps.2026.34.2.0038