To search for new anticoagulant rodenticides a large number of candidates need to be generated and then screened to maximize on-target rat VKORC1 effects (including those of resistant mutants), while minimize unspecific off-target effects, including humans. Because it is not practical to experimentally screen such large numbers of candidates, alternative computational screening of libraries made of similar anticoagulant molecules were proposed before . Combining the recent availability of crystallized human VKORC1-brodifacoum models , the accuracy improvements in modeling protein structures by alphafold , the identification of brodifacoum-resistance mutants in spanish rats , the recent DataWarrior (DW) Build Evolutionary library possibilities and the previous anticoagulant computationally studies , large numbers of brodifacoumderived candidates were generated.