Computer-aided rational design of a mRNA vaccine against Guanarito mammarenavirus.

Purpose: Guanarito mammarenavirus (GTOV) is a highly pathogenic virus that leads to Venezuelan hemorrhagic fever (VHF). Despite being a severe disease, there are currently no commercially available drugs or vaccines for its prevention.

Methods: Here we computationally formulated a mRNA vaccine construct (VC) from the genome of GTOV to produce immunity against its infections. Two proteins, namely zinc-finger motif protein (NP_899220.1), and nucleocapsid protein (NP_899211.1) were screened as potential candidates for downstream analysis.

Results: We determined the T and B cell epitopes of the candidate proteins. The resulting epitopes were analyzed, and the best epitopes were utilized in the formation of the peptide vaccine construct. The secondary and tertiary structures of the peptide construct were predicted and validated. Docking was conducted to check the binding energy of the designed peptide vaccine with the human immune receptors, namely TLR2 and TLR4. Our designed vaccine showed stable interactions with the HLA molecules, as verified through normal mode and MD simulation analysis. The immune simulation results indicated a positive immune response against the construct. A potentially stable mRNA vaccine was formulated by adding of sequences such as the Kozak, Goblin 5' UTR, tPA-signal peptide, MITD, 3' UTRs, and a poly(A) tail to the peptide vaccine construct. Lastly, the expression probability of the mRNA vaccine was confirmed in the expression system of E. coli strain K12.

Conclusion: The designed vaccine showed the potential to elicit an immune response against the GTOV infection; however, experimental validation is recommended to verify the in-silico findings of this study.