In addition to fit the rat VKORC1 binding cavity, children molecules were also selected for reduced hydrophobicity (from 8 to 3 logP) and size (from 522 to 400-500 g/mol), to theoretically reduce possible unespecificities. Otherwise, excessive hydrophobicity and/or size could translate into increased off-target biological spreading. Children predicting known toxicities and/or high affinities for human-VKORC1 were also filtered out, serving as examples of how off-target effects could be eliminated from useful predictions. Therefore, the objective of this work was to explore brodifacoum children with increased specificity to reduce offtarget effects (in this case only to humans) but conserving high affinities to rat and VKORC1 mutants. In particular, the restricted brodifacoum docking-cavity was employed by DataWarrior (DW) to generate enriched numbers of randomly generated raw children molecules, automatically selecting those with the lowest rat VKORC1 docking-scores (highest affinities), hydrophobicities and molecular weights. Around 12000 unique children molecules could be generated and selected from the vast wide chemical space . Those high numbers of potential anticoagulant rodenticides would had been impossible to reach by any computational screening methods (i.e., AutoDockVina, DEEPScreen, seeSAR, etc), even if applied to search large public chemical libraries containing many millions of compounds (i.e., Mcule, ChemSpace, Zinc, PubChem, Chembl, etc).