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Identification of Conserved Peptides Comprising Multiple T Cell Epitopes of Matrix 1 Protein in H1N1 Influenza Virus

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Journal Viral Immunol
Date 2015 Sep 24
PMID 26398199
Citations 8
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Abstract

Cell mediated immune response plays a key role in combating viral infection and thus identification of new vaccine targets manifesting T cell mediated response may serve as an ideal approach for influenza vaccine. The present study involves the application of an immunoinformatics-based consensus approach for epitope prediction (three epitope prediction tools each for CD4+ and CD8+ T cell epitopes) and molecular docking to identify peptide sequences containing T cell epitopes using the conserved sequences from all the Matrix 1 protein sequences of H1N1 virus available until April 2015. Three peptides comprising CD4+ and CD8+ T cell epitopes were obtained, which were not exactly reported in earlier studies. Population coverage study of these multi-epitope peptides revealed that they are capable of inducing a potent immune response belonging to individuals from different populations and ethnicity distributed around the globe. Conservation study with other subtypes of influenza virus infecting humans (H2N2, H5N1, H7N9, and H3N2) revealed that these three peptides were conserved (>90%), with 100% identity in most of these strains. Hence, these peptides can impart immunity against H1N1 as well as other subtypes of influenza virus. A molecular docking study of the predicted peptides with class I and II human leukocyte antigen (HLA) molecules has shown that the majority of them have comparable binding energies to that of native peptides. Hence, these peptides from Matrix 1 protein of H1N1 appear to be promising candidates for universal vaccine design.

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References
1.
RAMMENSEE H, Bachmann J, Emmerich N, Bachor O, Stevanovic S . SYFPEITHI: database for MHC ligands and peptide motifs. Immunogenetics. 1999; 50(3-4):213-9. DOI: 10.1007/s002510050595. View

2.
Gianfrani C, Oseroff C, Sidney J, Chesnut R, Sette A . Human memory CTL response specific for influenza A virus is broad and multispecific. Hum Immunol. 2000; 61(5):438-52. DOI: 10.1016/s0198-8859(00)00105-1. View

3.
Woodland D, Hogan R, Zhong W . Cellular immunity and memory to respiratory virus infections. Immunol Res. 2001; 24(1):53-67. DOI: 10.1385/IR:24:1:53. View

4.
Singh H, Raghava G . ProPred: prediction of HLA-DR binding sites. Bioinformatics. 2001; 17(12):1236-7. DOI: 10.1093/bioinformatics/17.12.1236. View

5.
Edgar R . MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinformatics. 2004; 5:113. PMC: 517706. DOI: 10.1186/1471-2105-5-113. View