Designing Multi-Epitope mRNA Vaccine Models Against Yezo Virus by Screening the Whole Proteome Using Immunoinformatics Approaches
DOI:
https://doi.org/10.64229/d4a71j39Keywords:
mRNA vaccine model, Thrombocytopenia, Yezo virus, Reverse vaccinology, Immuno-informaticsAbstract
Yezo virus (YEZV), a recent discovery among emerging human pathogens associated with public health burden and causes acute febrile illness, thrombocytopenia, and leukopenia. Currently, no vaccine is available on the market against YEZV infection. The current study based on the prediction of a novel mRNA vaccine design against the YEZV by utilizing whole proteome data. Two Glycoproteins (YP_010840880.1 and YP_010840879.1) were selected based on redundancy removal and homology analysis with the human database. Four model constructs were designed from 18 top-ranked B and T cells overlapped epitopes. The constructs were analyzed based on biophysical and biochemical evaluation. The structural bioinformatics analysis predicted good quality and stable 3D structures for the designed constructs. Molecular docking and Molecular dynamic simulation analyses prioritized the YEZV-V2 model to interact and exhibited the highest binding affinity with the HLA and TLRs immune receptors. The immune simulation analysis predicted YEZV-V2's ability to enhance both cellular and humoral immune responses in humans. Finally, the Prioritized YEZV-V2 vaccine model was modified into circular RNA with helper sequences to enhance its circulation and translation, aiming to establish its effectiveness against the YEZV. However, experimental and clinical follow-up of these In-silico investigations may be required for designed mRNA vaccine.
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