The AutoDockVina (ADV) program written in Python vs3.8 included into a modified PyRx-098/PyRx-0.98/1.0 package 46 was used as described before. Some modifications were included here to employ a wide grid to fine-tune docking cavities, to compare with DW-BEL docking-scores, quantify affinities in approximated nM and generate protein / ligand 3D images 48, 50-52 with the recently recommended parameters for highest accuracy 53 and optimal 52.3 % success rate compared with other docking programs Briefly, *.pdbqt file conversion of ORF8 and ligands were made in the mmff94s (Merck) force-field. Ligands for ADV were supplied only as DW-BEL generated children in *sdf files, carefully saved as mentioned above for maximal preservation of most of their 2D geometries after docking. ADV generates many 3D conformers using the rotatable bonds of the input ligands. To avoid their abundant interpretation errors, output ligands should be checked for conservation of the 2D structure of the conformer predicting the lowest docking-score ADV docking-scores in Kcal/mol were converted to nM affinities by the formula, 10 9 *(exp (Kcal/mol/0.592) ). A grid surrounding the whole ORF8 homodimer molecule of 45x45x45 Å was automatically centered around the PyMol / centerofmass. This grid size explored any other possible docking-cavities for each children, rather than those more limited by DW-BEL co-evolution.