As in our most recent work , the AutoDockVina (ADV) and OpenBabel using the mmff94s forcefield algorithms included in the PyRx-0.98/1.0 packages, were employed mainly due to their high accuracies and world-wide ongoing improvements . ADV was employed here to: i) selection of initial volatile compounds to define their ORCO targeted cavities by blind-docking, ii) quantify ADV-conformer affinities of DWBEL-derived children in ~ nM estimations, iii) identify nearby amino acids to ADV-conformers in ADV docked complexes (Supplementary Materials / nearbyAa.py) and iv) confirm the ORCO cavities targeted by ADV-conformers. A grid of 30x30x30 Å centered to the main ORCO docking cavities at coordinates 217x187x163 Å relative to PyMol centerofmass, were used for ADV docking of DWBEL-derivative children. The output ADV-conformer docking-scores in -Kcal/mol were converted to ~ nM affinities by applying the formula, 10 9 *(exp (Kcal/mol/0.592) ). To identify the amino acids nearby 4 Å distance of each ADV-conformer, a Python script was run in PyMol-opened *.pdb or *.pdbqt files.