Identification of immunogenic consensus T-cell epitopes in globally distributed influenza-A H1N1 neuraminidase
Gupta, Shishir K., Srivastava, Mugdha, Akhoon, Bashir A., Smita, Suchi, Schmitz, Ulf, Wolkenhauer, Olaf, Vera, Julio, and Gupta, Shailendra (2011) Identification of immunogenic consensus T-cell epitopes in globally distributed influenza-A H1N1 neuraminidase. Infection, Genetics and Evolution, 11 (2). pp. 308-319.
![]() |
PDF (Published Version)
- Published Version
Restricted to Repository staff only |
Abstract
Antigenic drift is the ability of the swine influenza virus to undergo continuous and progressive changes in response to the host immune system. These changes dictate influenza vaccine updates annually to ensure inclusion of antigens of the most current strains. The identification of those peptides that stimulate T-cell responses, termed T-cell epitopes, is essential for the development of successful vaccines. In this study, the highly conserved and specific epitopes from neuraminidase of globally distributed H1N1 strains were predicted so that these potential vaccine candidates may escape with antigenic drift. A total of nine novel CD8 + T-cell epitopes for MHC class-I and eight novel CD4 + T-cell epitopes for MHC class-II alleles were proposed as novel epitope based vaccine candidates. Additionally, the epitope FSYKYGNGV was identified as a highly conserved, immunogenic and potential vaccine candidate, capable for generating both CD8 + and CD4 + responses.
Item ID: | 69024 |
---|---|
Item Type: | Article (Research - C1) |
ISSN: | 1567-7257 |
Copyright Information: | © 2010 Elsevier B.V. All rights reserved. |
Date Deposited: | 27 Jun 2024 00:10 |
FoR Codes: | 32 BIOMEDICAL AND CLINICAL SCIENCES > 3207 Medical microbiology > 320705 Medical virology @ 30% 32 BIOMEDICAL AND CLINICAL SCIENCES > 3204 Immunology > 320404 Cellular immunology @ 30% 31 BIOLOGICAL SCIENCES > 3102 Bioinformatics and computational biology > 310205 Proteomics and metabolomics @ 40% |
SEO Codes: | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280103 Expanding knowledge in the biomedical and clinical sciences @ 100% |
Downloads: |
Total: 2 Last 12 Months: 2 |
More Statistics |