Hybrid methods in molecular docking are integrated computational approaches that combine different techniques to enhance the accuracy and effectiveness of docking simulations. These methods leverage the strengths and mitigate the drawbacks of individual virtual screening (VS) strategies, thereby improving the outcomes of computer-aided drug design. Hybrid methods can incorporate a variety of computational techniques, including but not limited to, molecular docking, molecular dynamics simulations, quantum mechanics, machine learning, pharmacophore modeling, and ligand-based drug design. The integration of these methods allows for a more comprehensive analysis of ligand-receptor interactions by considering factors such as protein flexibility, solvent effects, and the dynamic nature of molecular interactions. Here are some examples of hybrid methods used in molecular docking.