Identification of Therapeutic Inhibitors for Polycystic Kidney Disease Using Gene Networks and Toxicological Modeling

Abstract

Polycystic Kidney Disease (PKD) is a advancing renal disease characterized by multiple fluid containing cysts, eventually impairing kidney structure and function. This analytics presents an analysis of disease-associated genes, potential therapeutic inhibitors, toxic, non toxic, and gene compound interaction networks. Two signature genes, PKHD1 and PKD1, were identified as key genetic drivers in PKD pathogenesis. A total of twenty pharmacological inhibitors were selected for controlling this disease. Network and gene overlap analyses revealed critical regulatory nodes, including EGFR, AKT1, JAK2, CTNNB1 shows promising molecular targets for drug repurposing strategies in PKD. To find inhibitors that are used to control the disease progression and generate a network that show disease related genes, compound interaction. The final merged network indicate the key regulatory nodes and potential therapeutic compounds for PKD.