In silico prediction of ebolavirus RNA polymerase inhibition by specific combinations of approved nucleotide analogues

Abstract

Background and objective: The urgency of ebolavirus drug development is obvious in light of the current local epidemic in Western Africa with high morbidity and a risk of wider spread. We present an in silico study as a first step to identify inhibitors of ebolavirus polymerase activity based on approved antiviral nucleotide analogues.

Study design: Since a structure model of the ebolavirus polymerase is lacking, we performed combined homology and ab initio modeling and report a similarity to known polymerases of human enterovirus, bovine diarrhea virus and foot-and-mouth disease virus. This facilitated the localization of a nucleotide binding domain in the ebolavirus polymerase. We next performed molecular docking studies with nucleotides (ATP, CTP, GTP and UTP) and nucleotide analogues, including a variety of approved antiviral drugs.

Results and conclusions: Specific combinations of nucleotide analogues significantly reduce the ligand-protein interaction energies of the ebolavirus polymerase for natural nucleotides. Any nucleotide analogue on its own did not reduce ligand-protein interaction energies. This prediction encourages specific drug testing efforts and guides future strategies to inhibit ebolavirus replication.

Keywords: Binding affinity; Ebolavirus; Modeling; Nucleotide analogues; Polymerase.