Virtual Screening is a computational technique used in drug discovery to identify potential drug candidates from large libraries of compounds. By simulating how these compounds interact with specific biological targets, researchers can predict which molecules are most likely to be effective in treating a disease. This method saves time and resources by narrowing down the number of compounds that need to be tested in the laboratory. Molecular docking and machine learning are often employed in virtual screening to enhance the accuracy of predictions and streamline the drug development process.