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

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 (US)
Pages (from-to)141-147
Number of pages7
JournalCellular Immunology
Volume244
Issue number2
DOIs
StatePublished - Dec 2006

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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