We evaluated the ability of traversal strategies to identify virtual actives using recall metrics. We defined "virtual actives" as the top ~0.01% scoring molecules in a screening library (top 10k for D4 and AmpC libraries and top 100 for DUDE-Z). Different traversals were compared by their partial area under the curve (pAUC), representing the recall of virtual actives against the screened percentage of the library.