Computer-aided drug design is a multidisciplinary field utilizing computational simulations and modeling to accelerate the process of discovering and developing novel drug candidates. It encompasses a range of techniques, including molecular docking, molecular dynamics simulations, virtual screening, and quantitative structure-activity relationship (QSAR) analysis, to investigate the interactions between potential drug molecules and biological targets at the atomic level. Its significance lies in its capacity to efficiently explore vast chemical spaces, predict molecular properties and binding affinities, and guide experimental efforts, thereby reducing the time, cost, and attrition rates associated with traditional drug discovery pipelines.