The "Build Evolutionary Library" and "Dock Structures into Docking Cavity" subprograms included into DataWarrior (DW) were used here to generate abaucin-derivative libraries fitting the abaucin docking-cavity (evolutionary docking libraries), following our previous more detailed descriptions . Common evolutionary parameters such as generations of 128 children, selection of 16 children per generation, preference for drug-like properties and 3 runs were chosen as optimized in previous work. Children from the abaucin parent, were first predicted by fitting to higher affinity to the ADV and DW identified abaucin-docking cavities (evolutionary docking). Molecular weight restriction criteria were then added to the fitting criteria but maintaining the highest relative weight for affinity (x4). Additional molecular weight (2x) and logP (x1) fitting criteria were added to subsequent evolutionary docking. As indicated before, the abaucin-children were saved as *.dwar files and filtered by excluding any toxic DW chemical properties (mutagenesis, tumorigenicity, reproductive interference, irritant, and nasty functions) using a home-designed toxicprediction.dwam macro (included in the Supplementary Material). Non-toxic children were saved as *.dwar and special *.sdf (vs3) files