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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 publication

DOI

10.1016/j.cellimm.2007.02.005

Type

Journal article

Journal

Cell Immunol

Publication Date

12/2006

Volume

244

Pages

141 - 147

Keywords

Amino Acid Sequence, Animals, Computational Biology, Conserved Sequence, Dengue, Dengue Virus, Epitopes, T-Lymphocyte, HLA Antigens, Humans, Interferon-gamma, Mice, Models, Molecular, Molecular Sequence Data, Sequence Alignment, Viral Nonstructural Proteins, Viral Vaccines