The present computational work explored know hits for derivatives predicting new anti-ORCO candidates with higher docking affinities, specificities and volatilities. Possible candidates were generated and selected using the fast DataWarrior Build Evolutionary Library (DWBEL) 2-5 java-based algorithms, rather than screen large molecular banks or predict from protein sequences . Similar computational co-evolutions were employed before to predict new antibiotics for resistant Staphilococcus 11 , Abaucin-derivatives against Acinetobacter 12 , non-human anticoagulant rodenticides , anti-monkeypox to resistance mutants 14 , anti-inner-cavity omicron , anti-inflammatory coronavirus protein , anti prokaryotic models for human potassium channels 17 , anti-fish rhabdovirus trimers , anti-malarial drug-like compounds 14 , anti-RSV resistant mutations or Monkey-pox virus resistant variants .