DRUG REPURPOSING STRATEGIES USING COMPUTATIONAL AND EXPERIMENTAL APPROACHES

Drug repurposing offers a cost-effective and time-efficient approach to drug discovery by identifying new therapeutic uses for existing drugs. The integration of computational techniques—such as virtual screening, molecular docking, and molecular dynamics simulations—with experimental validation has significantly enhanced the accuracy and success rate of repurposing strategies. This combined approach accelerates target identification, optimizes lead selection, and reduces failure rates in later stages of development. Key strategies include structure-based and ligand-based screening, network pharmacology, and in-vitro and in-vivo validation models. With advances in artificial intelligence, big data analytics, and high-throughput experimental platforms, integrated computational–experimental frameworks are expected to play a crucial role in shaping the future of precision medicine and rapid therapeutic development.