To computationally explore novel anti histamine 1 receptor (H1R) drug-like candidates here, the fast java-based DataWarrior Build Evolutionary Library (DWBEL) algorithms have been employed. Rather than docking screening through large molecular banks or predicting dock from protein sequences , DWBEL iteration through random / selection generations mimicked natural co-evolution, penetrating more deeply into the vast drug-like space of antihistamine alternatives . Similar computational co-evolutions predicted for instance, new antibiotics for resistant Staphilococcus 6 , Abaucinderivatives to Acinetobacter 7 , non-human anticoagulant rodenticides 8 , antimonkeypox to resistance mutants , anti-inner-cavity omicron , anti-inflammatory coronavirus protein , anti prokaryotic models for human potassium channels , anti-fish rhabdovirus trimers or anti-malarial drug-like compounds .