Virtual Screening

Virtual screening is the systematic computational evaluation of large compound libraries — commonly ranging from hundreds of thousands to tens of millions...

Virtual screening is the systematic computational evaluation of large compound libraries — commonly ranging from hundreds of thousands to tens of millions of virtual structures — to identify the small subset most likely to show genuine biological activity against a target of interest, using molecular docking, pharmacophore matching, or machine-learning-based scoring, individually or in combination. A typical virtual screening campaign applies a cascade of progressively more computationally intensive and more accurate filters: an initial, rapid physicochemical and drug-likeness filter (commonly incorporating Lipinski's Rule of Five criteria) removes obviously unsuitable compounds; a fast pharmacophore or low-precision docking filter narrows the library further; and a final high-precision docking or free-energy calculation is applied only to the small, already-prioritised subset of top-ranked candidates, which are then submitted for experimental testing. This cascaded approach allows the enormous chemical space represented by modern virtual compound libraries to be searched efficiently within a practical computational budget.