Integrative network pharmacology, molecular docking, and dynamic simulation analysis of a polyherbal formulation for potential therapeutic impact on prostate cancer

Background: Prostate cancer (PCa) remains a significant health concern globally, prompting a continual search for novel therapeutic strategies. In this study, we employed a comprehensive approach combining network pharmacology, molecular docking and dynamic simulation to explore the potential impact of a polyherbal formulation on PCa. Methods: Utilizing comprehensive network pharmacology approaches, we elucidated the complex interactions between the bioactive compounds within the polyherbal formulation and key targets associated with PCa progression, highlighting their multitarget mechanisms through integrated protein-protein interaction and KEGG pathway analyses. Molecular docking simulation studies were performed to predict the binding affinities and modes of interaction between the identified bioactive compounds and their respective protein targets. Results: Complex connections comprising 486 nodes and 845 edges were found by the compoundtarget network analysis. Significant interactions were observed, and the average node degree was 4.23. KEGG research revealed that PCa and the PI3K-Akt signalling pathway are implicated in modulating prostate cancer. The Quercetin docking investigations revealed that the binding energies for AR and PIK3R1 were -9 and -9.5 kcal/mol, respectively. Based on the results of the MD simulations, it appears that tiny molecules and proteins have formed stable complexes with low fluctuations. Conclusion: In conclusion, this comprehensive method emphasises the value of network pharmacology in conjunction with molecular docking and dynamic simulation in revealing the antiPCa therapeutic potential of polyherbal formulations, opening up new possibilities for the creation of efficient anti-cancer medicines.