Two scenarios were contemplated to reduce the effect of chemical data sparsity across variants. The first one simulated an ideal scenario where all compounds would have been tested on all variants. For this purpose, fully dense common subsets were computed for targets with sufficient data, where only those compounds tested across all available variants were kept Given the number of variants with extremely low data density, this task was not trivial. In fact, approximately two-thirds of the 335 targets in the VEBD did not have a single compound that had been tested on all reported variants. For the other third consisting of 114 targets, the fully dense common subset represented a small portion of the target's set, with only 18 targets exceeding 10% and the maximum representation being 50%. Moreover, the size of their fully dense common subsets was very small, with only four targets surpassing 35