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In silico identification of immunodominant B-cell and T-cell epitopes of non-structural proteins of Usutu Virus

  • Rohit Satyam
  • , Essam Mohammed Janahi
  • , Tulika Bhardwaj
  • , Pallavi Somvanshi
  • , Shafiul Haque
  • , Mohammad Zeeshan Najm
  • Dr. A.P.J. Abdul Kalam Technical University
  • University of Bahrain
  • The Energy and Resources Institute India
  • Jazan University

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Usutu Virus (USUV; flavivirus) is a re-emerging pathogen invading the territories of European countries, Asia, and Africa. It is a mosquito-borne zoonotic virus with a bi-directional transmission route from animal to human and vice versa, and causes neurological disorders such as meningoencephalitis in bats, Homo sapiens, birds and horses. Due to limited availability of information about USUV and its deleterious effects on neural cells causing neurologic impairments, it becomes imperative to study this virus in detail to equip ourselves with a solution beforehand. The current study aims to identify immunodominant peptides that could be exploited in future for designing global peptide vaccine for combating the infections caused by USUV. In this study, an immunoinformatics approach was applied to evaluate the immunogenicity of 7 non-structural proteins and determined 64 continuous B-cell epitopes, numerous probable discontinuous B-cell epitopes, 64 MHC Class-I binders, 126 MHC class-II binders and 52 promiscuous binders with a maximum population coverage of 98.55%(MHC Class-I binder ofYP_164815.1 NS4a) and 81.81% (MHC Class-II binders of YP_164812.1 NS2a, YP_164813.1 NS2b, YP_164814.1 NS3, YP_164817.1 NS4b, YP_164818.1 NS5). Further, studies involving experimental validation of these predicted epitopes is warranted to ensure the potential of B-cells and T-cells stimulation for their effective use as vaccine candidates, and as diagnostic agents against USUV.

Original languageEnglish
Pages (from-to)129-143
Number of pages15
JournalMicrobial Pathogenesis
Volume125
DOIs
StatePublished - Dec 2018
Externally publishedYes

Keywords

  • Epitope prediction
  • Homology modelling
  • Phylogenetic analysis
  • Physicochemical characterization
  • Population coverage analysis
  • Toxicity prediction
  • Usutu virus

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