Abstract

Several genotypes of the hantavirus cause hemorrhagic fever with renal syndrome (HFRS) and is an important public health problem worldwide. There is now growing interest to develop subunit vaccines especially focused to elicit cytotoxic T lymphocyte responses which are important against viral infection. We identified candidate T-cell epitopes that bind to Class I HLA supertypes towards identifying potential subunit vaccine entity. These epitopes are conserved in all 5 hantavirus genotypes of HFRS (Hantaan, Dobrava- Belgrade, Seoul, Gou virus and Amur). The epitopes identified from S and M segment genomes were analyzed for human proteasome cleavage, transporter associated antigen processing (TAP) efficiency and antigenicity using bioinformatic approaches. The epitope MRNTIMASK which had the two characteristics of high proteasomal cleavage score and TAP score, also had high antigenicity score. Our results indicate that this epitope from the nucleocapsid protein may be considered the most favorable moiety for the development of subunit peptide vaccine.

Highlights

  • Hemorrhagic fever with renal syndrome (HFRS) is a highly fatal disease caused by different genotypes of Hantaviruses

  • We aimed to identify candidate Tcell epitope(s) conserved in all 5 hantavirus genotypes (Hantaan, Dobrava-Belgrade, Seoul, Gou and Amur) causing HFRS

  • This study enabled the prediction of major histocompatibility complex (MHC) Class I binding T- cell Epitopes from hantaviruses towards development of a designer peptide vaccine

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Summary

Introduction

Hemorrhagic fever with renal syndrome (HFRS) is a highly fatal disease caused by different genotypes of Hantaviruses (family Bunyaviridae). The genotypes that cause HFRS are Hantaan, Dobrava-Belgrade, Seoul, Gou and Amur. This disease poses a significant public health burden in Asian countries. There is interest for developing T-cell epitope based vaccines to protect against important viral infections [5,6,7]. Recent bioinformatic techniques including immunology-focused resources and software highly complement in designing candidate vaccine [8]. These methods enable the systematic identification of genome-wide expressed proteins bearing T-cell epitopes. This is achieved by incorporating epitope prediction tools in analyzing large numbers of viral amino acid sequences. The effective epitope antigen should have a sequence that survives the proteome and can be transported by ISSN 0973-2063 (online) 0973-8894 (print)

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