The fast java-based DataWarrior-Build Evolutionary Library verison 6.2.0 (DWBEL) co-evolution algorithms were employed for this work (Table ). Two inputs were required for each DWBEL co-evolution , i) one of the anti-ORCO volatil compounds for the 2D parent molecule (to randomly generate thousands of raw-children) and ii) the corresponding ADV blind-docked cavity in Anopheles ORCO monomer when complexed with the paired volatile conformer (to select the best-fitting children). Co-evolutions were performed during 3 consecutive runs with the same preference criteria: relative maximal importance for docking-score of 4 (x4), optimal molecular weight for maximal volatility <= 200 g/mol (x2), low-medium hydrophobicity LogP <=4 (x1) and minimal Toxicity risk <=1 (x4). DWBEL co-evolution iterations randomly added/inserted small molecular variations into the 2D parents to originate tens of thousands of consecutively ID numbered raw-children conformers using the mmff94s+ force-field algorithm . During co-evolution each of the raw children were automatically selected for non-toxicity and maximal fitting the ORCO's monomeric cavity. The resulting non-toxic fitted-children ranked by the DWBEL docking-score (NN numbered) were finally filtered by a DW macro (NTN.dwam) to exclude any remaining mutagenesis, tumorigenicity, reproductive interference, irritant molecular signatures, and/or nasty motifs 14, 17, 18, 20 .