Because no algorithm is still capable of predicting docking-scores with good enough accuracies for each different chemotype, and DW explores only the initially supplied docking cavity, a minimal consensus of docking-scores was searched including also exploration of other alternative protein cavities. For that, the well known AutoDockVina (ADV) program was selected, mainly because i) ADV may detect any other docking cavity alternatives inside different size grids (such as the one selected here for 50x50x50 Å) and ii) ADV reports their dockingscore output results in Kcal/mol values (~∆G docking energies), which allows for normalization of specificity corrections. Normalization corrects for apparent low docking-scores which may be due only to unspecific high molecular size or hydrophobicity, as reported in many other docking systems (and also observed during this work). The LELP ligand efficiency unique parameter was chosen here for specificity normalization. LELP was calculated within the DW program (LogP/LE ratios), taken into account both the logP lipophilicity (as reliable prediction of hydrophobicity) and the number of non-hydrogen atoms (proportional to their molecular weight).