Network toxicology-aided identification of potential toxicological mechanisms of rhodamine B in ovarian cancer: Insights from transcriptomics, molecular docking, molecular dynamics simulations, and machine learning modeling
Ovarian cancer is the most lethal gynecological malignancy, accounting for disproportionate cancer-related mortality due to late-stage diagnosis and limited therapeutic options. Despite documented cytotoxicity, genotoxicity, hepatotoxicity, and reproductive toxicity of Rhodamine B, its toxic molecular interaction lands...