However, there were also some unexpected results. First, the numbers of fitted children were unaffected with Toxicity Risk, suggesting one possible internal control by the DW-BEL algorithms. Second, there were few common children between the chemical structures of NTN children predicted ± Toxicity Risk, suggesting the induction of independent co-evolution pathways extending differently throughout the chemical space. Third, although there were children predicting highest affinities with Toxicity Risk (Vkorc1, Sglt1, Vegfr, Nkcc1, LolEC), there were also other children in which the highest affinities were predicted without Toxicity Risk (FtsZ, Hsp47, Sglt2, P2x3r). The stochastic nature of raw children generations, the differently limited protein cavity shapes / volumes, the hydrophobicity variations among children and/or other unknown target steric limitations, could explain those differences. Overall, these results highlight the existence of a vast chemical space to be further explored .