Immunoinformatics Approach for Designing Multiple Epitope-Based Vaccine against Human Metapneumovirus Utilizing its Fusion Protein.

Abstract

BackgroundHuman Metapneumovirus is a major cause of acute respiratory infections especially in children besides it’s responsible for substantial hospitalizations associated with significant morbidity and treatment cost. Hence vaccination is required. Consequently, we aim to predict effective, safe, and universal epitope-based peptides vaccine against the HMPV using its Fusion Protein via the Immunoinformatics approach since there are no licensed vaccines or antiviral treatments yet.To achieve this goal, various Immunoinformatics databases and web servers, including, the Immune Epitope Database used the Allergen FP v.1.0, and ToxinPred web servers as well as Phyre2 web portal for the modeling of peptide 3D structure and molecular docking study on Cresset Flare software.Result According to the results, the peptide GSTVYYPN was the best predicted B-cells epitopes. Moreover, the peptide VIYMVQLPI with population coverage 48.27% in class(C) I, 35.12% in (C)II, and the peptides LIGVYGSSV with 44.03% in C II, YTNVFTLEV with 61.92% in class I were the best-predicted T-cells epitopes that will interact effectively with the MHC I and MHC II molecules respectively.Conclusions We recommend the use of them, the highest coverage, and the best -combined allele’s bindings of immunogenic multiple peptide vaccines. Also, experimental studies recommend validating the results.