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- W4309206876 abstract "Background: Vaccine development against emerging infections is essentially important for saving people from increasing viral infections. In developing countries, Hepatitis E (HEV) is a common infection affecting millions of people worldwide. Based on In-silico analysis, different approaches have been targeted.
 Objectives: Rationale of this study is to design an epitope-based vaccine candidates with the help of immunoinformatics that can predict promiscuous B-cell and T-cell epitopes of the most antigenic HEV-ORF2 capsid protein.
 Materials & Methods: This study suggests potential T-cell and B-cell epitopes of the highly antigenic HEV ORF2 capsid protein while using various In-silico tools such as NCBI-BLAST, Expassy, CLC workbench, Ellipro and Discotope.
 Results: Potential antigenic and immunogenic CD8+ T-cell epitopes were predicted from the global consensus sequence of ORF2-HEV. Furthermore, twenty-two linear B-cell epitopes were predicted. Among these, “SLGAGPV” at position 587-593 and “LEFRNLTPGNTNTRVSRYSS” at position 306-325 were most antigenic with antigenicity score 1.4206 and 1.3600 respectively. Discontinuous B-cell epitopes were found by three-dimensional capsid protein structure. Epitopes predicted in this study reveal high antigenicity and promiscuity for HLA classes.
 Conclusion: Collectively, our data suggests promiscuous epitopes that can potentially acts as new candidates for the design of HEV peptide vaccine.
 Keywords: Virology; gastrointestinal disease." @default.
- W4309206876 created "2022-11-24" @default.
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- W4309206876 date "2022-10-28" @default.
- W4309206876 modified "2023-09-26" @default.
- W4309206876 title "Prediction of promiscuous epitopes in ORF2 of Hepatitis E virus: an In-Silico approach" @default.
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- W4309206876 doi "https://doi.org/10.4314/ahs.v22i3.67" @default.
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