GIJHSR

Galore International Journal of Health Sciences and Research


Year: 2026 | Month: July-September | Volume: 11 | Issue: 3 | Pages: 385-389

DOI: https://doi.org/10.52403/gijhsr.20260342

Deciphering the Multi-Target Molecular Mechanisms of Rasnasaptakam Kashayam: A Comprehensive Review of in Silico and Network Pharmacology Potentials

Sugeena P

Assistant Professor,
Department of Rasashastra and Bhaishajyakalpana
Government Ayurveda college, Pariyaram, Kannur, Kerala, India.

Corresponding Author: Sugeena P

ABSTRACT

Background: Rasnasaptakam Kashayam is a classical Ayurvedic polyherbal decoction traditionally used to manage Vata-Kapha dominant musculoskeletal disorders, chronic joint pain, and inflammatory diseases. While its clinical efficacy is historically documented, the complex multi-component molecular mechanisms underlying its therapeutic action require modern systemic validation.
Objective: This review compiles and evaluates the current in silico data, molecular docking profiles, molecular dynamics simulations, network pharmacology pathways, and pharmacokinetics metrics of the formulation to map its systemic mechanism of action.
Data Source: Literature was gathered from digital databases including PubMed, Google Scholar, and localized traditional Ayurvedic drug repositories up to 2026.
Review Methods: Studies detailing computational validation, binding energies (ΔG), absorption, distribution, metabolism, and excretion parameters of the seven constituent herbs were synthesized. Results: Virtual high-throughput screenings confirm that core active compounds—such as quercetin, tinosporaside, boeravinone B, berberine, and ricinoleic acid—exhibit high negative binding affinities (ranging from -7.4 to -9.3 kcal/mol) against key human pro-inflammatory targets including cyclooxygenase-2, inducible nitric oxide synthase, tumor necrosis factor-alpha, nuclear factor-kappa B, and matrix metalloproteinase-9. Molecular dynamics trajectories over 100 nanoseconds validate the structural stability of these ligand-receptor configurations. Network pharmacology demonstrates a holistic, multi-pathway blockade that downregulates joint inflammation and preserves cartilage structural integrity.
Conclusion: In silico data provide solid, quantifiable proof that validates the multi-target, synergistic nature of Rasnasaptakam Kashayam, establishing a mechanistic framework for future human clinical evaluation.

Keywords: Ayurveda, In silico, Molecular docking, Network pharmacology, Rasnasaptakam Kashayam.

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