Second, most current reports on the pose sampling capacity of ML-based approaches are confined to redocking exercises. In redocking, a ligand is inserted into its cognate protein structure, which represents a scenario of limited relevance to real-world applications. It is important to note that VS typically involves docking and recognizing structurally distinct compounds.