Virtual screening is a computational methodology employed to rapidly search large databases of chemical compounds or materials to identify candidates with predicted desirable properties or interactions. This approach leverages predictive models and algorithms to prioritize promising entities for subsequent experimental investigation, thereby significantly accelerating the discovery process and reducing the need for extensive physical testing.