Binding mode prediction and inhibitor design of anti-influenza virus diketo acids targeting metalloenzyme RNA polymerase by molecular docking

Abstract

Influenza is a yearly seasonal threat and major cause of mortality, particularly in children and the elderly. Although neuraminidase inhibitors and M2 protein blockers are used for medication, drug resistance has gradually emerged. Thus, the development of effective anti-influenza drugs targeting different constituent proteins of the virus is urgently desired. In this light, we carried out molecular docking to predict the binding modes of anti-influenza diketo acid inhibitors in the active site of the PAN subunit of the metalloenzyme RNA polymerase of influenza virus. The calculations suggested that the dianionic forms of the diketo acids should chelate the dinuclear manganese center as dinucleating ligands and sequester it. They also indicated that the diketo acid derivatives with larger hydrophobic substituents should block a hydrophobic cavity in the active site more tightly. These assumptions could adequately explain the enzyme inhibition by these compounds. Furthermore, we designed potential inhibitors by lead optimization of a diketo acid inhibitor from the thermodynamic points of view. Molecular docking results showed that the newly designed diketo acid derivatives might inhibit the metalloenzyme RNA polymerase more strongly than the lead inhibitor.