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

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KHAN M. A., Miotto O., Heiny A. T., Salmon J., Srinivasan K. N., Nascimento E. J. M., ...Daha Fazla

CELLULAR IMMUNOLOGY, cilt.244, sa.2, ss.141-147, 2006 (SCI-Expanded, Scopus) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 244 Sayı: 2
  • Basım Tarihi: 2006
  • Doi Numarası: 10.1016/j.cellimm.2007.02.005
  • Dergi Adı: CELLULAR IMMUNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.141-147
  • Anahtar Kelimeler: T-cell epitopes, epitope-based vaccines, bioinformatics, pathogens, immune systems, information entropy, conserved sequences, immunological hotspots, altered-ligand effect, supertypes, T-CELL EPITOPES, MHC CLASS-I, HIV ENVELOPE, DENGUE, RESPONSES, IDENTIFICATION, PREDICTION, PROTEIN, CLUSTERS, BINDING
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Bezmiâlem Vakıf Üniversitesi Adresli: Hayır

Özet

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. (c) 2007 Elsevier Inc. All rights reserved.