It is possible to see that the distributions of Tanimoto coefficients for both human and bacterial proteins are rather uniform, and going as low as 0.28. This indicates that the experimentally confirmed predictions are not necessarily based on close analogs, but on the contrary they are based in many times on rather dissimilar parts of the chemical space. The fact that SEA uses ensembles of compounds instead of the nearest analog in the training set, makes it more capable of successful extrapolation to non-trivial predictions of bioactivities, and provides further interest to the set of hypotheses shared in this work.