Chemical similarities between the virtual hits and compounds in their training dataset were evaluated using Tanimoto similarities calculated from 2048-bit Morgan fingerprints. Fingerprints were created using chemfp and RDKit, and Tanimoto similarities were calculated with chemfp. To assess the consistency of results obtained in repeated predictions, three replicates with a different random selection of compounds for the initial training set were used. The overlap of the compounds selected for docking by each model was calculated by counting which compounds among the top-scoring 100, 1000, and 10 000 compounds were selected by one, two, or three of the replicates after each iteration.