This was a clear improvement in terms of subset size from the original 114 fully dense common subsets, which had an average of 10 ± 33 unique compounds and 4 ± 7 variants. Additional measures were taken in very sparse targets by allowing the previous filters to be computed based on pairwise molecular similarity. This allowed us to include compounds only tested in one variant if a highly similar compound (e.g. Tanimoto similarity ≥ 0.80) had been tested in a different variant. The similarity option with the previously defined parameters allowed rescuing an additional four targets but did not improve the existing subset sizes, given the stringent 80% similarity threshold. The obtained similarity-expanded common subsets maintained the bioactivity distribution per variant of the VEBD, and all reached a higher balance and reduced sparsity as intended (Supplementary Table ).