To generate libraries-on-demand of brodifacoum-children, the recently released DW Build Evolutionary Library subprogram was chosen, among other possible alternatives being developed using novel transformer technologies . DW randomly generated thousands of brodifacoum children and then selected those best fitting to the brodifacoum binding-cavity. Those children predicting high affinity (low docking-scores) for wild-type and resistant mutant rat-VKORC1 and low affinities for human-VKORC1 were finally displayed on a unique table provided with filter sliders to select the best fitting candidates. AutoDockVina docking affinities were also added to the final table to include consensus affinity values to increase the accuracy of low nanomolar predictions. These strategies and results will facilitate further computational ecological studies to avoid any predictable off-target bioeffects, before computationally predicting chemical synthesis pathway alternatives. The identification of possible chemical synthesis pathways in the future may be facilitated by the advent of modern retrosynthesis predictions , including those provided by the IBM RXN server (). Experimental validations may follow chemical synthesis.