Non-toxic nanoMolar affinity drug-like candidates , have been predicted by co-evolutionary algorithms fitting different protein / ligand pair cavities. For example, new antibiotics fitting FtsZ of resistant Staphilococcus , alternative Abaucin-derivatives against the Acinetobacter lipoprotein 10 , anticoagulant nonhuman brodifacoum-derived raticide ligands , anti-monkeypox conformers to Tecovirimat-resistance mutants , anti-glycoprotein trimer inner-cavity of omicron coronavirus , anti-inflammatory coronavirus-coded protein , new ligands docking to prokaryotic models of human potassium channels , anti-fish rhabdovirus cross-docking their inner glycoprotein trimer cavity , anti-human respiratory syncytial viral mutations , or anti-HIV Vif . Most relevant to the present work, hundreds of new volatile non-toxic compounds fitting the odor ORCO co-receptor cavities of the malaria-vector Anopheles mosquitoes with 10-100 fold higher affinities, were also reported by co-evolutionary docking . Similarly to the above mentioned examples, Java-based DataWarrior Build Evolutionary Library (DWBEL) fast algorithms have been employed here to target the most abundant circumsporozoite protein (CSP) of Plasmodium falciparum.