A systematic bioinformatics approach for selection of epitope-based vaccine targets

Asif M. Khan, Olivo Miotto, A. T. Heiny, Jerome Salmon, K. N. Srinivasan, Eduardo J M Nascimento, Ernesto T A Marques, Vladimir Brusic, Tin Wee Tan, J. Thomas August

Research output: Contribution to journalArticlepeer-review

67 Citations (Scopus)

Abstract

Epitope-based vaccines provide a new strategy for prophylactic and therapeutic application of pathogen-specific immunity. A critical requirement of this strategy is the identification and selection of T-cell epitopes that act as vaccine targets. This study describes current methodologies for the selection process, with dengue virus as a model system. A combination of publicly available bioinformatics algorithms and computational tools are used to screen and select antigen sequences as potential T-cell epitopes of supertype human leukocyte antigen (HLA) alleles. The selected sequences are tested for biological function by their activation of T-cells of HLA transgenic mice and of pathogen infected subjects. This approach provides an experimental basis for the design of pathogen specific, T-cell epitope-based vaccines that are targeted to majority of the genetic variants of the pathogen, and are effective for a broad range of differences in human leukocyte antigens among the global human population.

Original languageEnglish
Pages (from-to)141-147
Number of pages7
JournalCellular Immunology
Volume244
Issue number2
DOIs
Publication statusPublished - Dec 2006
Externally publishedYes

Keywords

  • Altered-ligand effect
  • Bioinformatics
  • Conserved sequences
  • Epitope-based vaccines
  • Immune system
  • Immunological hotspots
  • Information entropy
  • Pathogens
  • Supertypes
  • T-cell epitopes

ASJC Scopus subject areas

  • Immunology

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