HGNN.dwar. Molecular characteristics of 4 volatile chemicals of different molecular weights with experimentally demonstrated anti-ORCO properties that were selected for ADV blind-docking to the Anopheles ORCO monomeric model. They defined their corresponding 2D-parents and 3D-cavities for DWBEL co-evolutions. Their optimal 3D conformers were generated by the DW / mmff94s+ force-field algorithm that best preserved their 2D geometries after PyRx Obabel minimization, pdbqt generation and ADV blind-docking. nearbyAa.py. A PyMol / Python script to identify the amino acid residues and their chain positions within 4 Å of the docked ligand conformers and save the information into a nearbyligand.txt file. To run, all files should be copied into the same directory including the *.pdbqt ligand conformers, the *.pdb, *.pdbqt or *pse targeted protein and the *.py script. To run the script requires a text editor (i.e., NotePad or EditPlus) for typing and saving the nearby.py file with the PyMol names of the Ligand and the targeted protein. Finally, the script can be run by opening the targeted protein file in PyMol and clicking on PyMol/File/Run Script/nearbyAa.py. 35Lig.dwar. This DW Table contains 35 hexanoic-derived top-children targeting Anopheles ORCO monomers, ADV docked conformer structures, molecular weights (MW), hydrophobicities (cLogP), targeted A or B sites, and their predictions of DWBEL docking scores (unitless), VP ( mmHg) and ADV affinities (kcal/mol and ~nM). The DW Table was provided with threshold slider-filters to select different combinations of conformers. The *.dwar files can be opened within freely availble DW progam ().