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In Silico Identification of Highly Conserved Epitopes of Influenza A H1N1, H2N2, H3N2, and H5N1 with Diagnostic and Vaccination Potential
The unpredictable, evolutionary nature of the influenza A virus (IAV) is the primary problem when generating a vaccine and when designing diagnostic strategies; thus, it is necessary to determine the constant regions in viral proteins. In this study, we completed an in silico analysis of the reporte...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4544958/ https://www.ncbi.nlm.nih.gov/pubmed/26346523 http://dx.doi.org/10.1155/2015/813047 |
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author | Muñoz-Medina, José Esteban Sánchez-Vallejo, Carlos Javier Méndez-Tenorio, Alfonso Monroy-Muñoz, Irma Eloísa Angeles-Martínez, Javier Santos Coy-Arechavaleta, Andrea Santacruz-Tinoco, Clara Esperanza González-Ibarra, Joaquín Anguiano-Hernández, Yu-Mei González-Bonilla, César Raúl Ramón-Gallegos, Eva Díaz-Quiñonez, José Alberto |
author_facet | Muñoz-Medina, José Esteban Sánchez-Vallejo, Carlos Javier Méndez-Tenorio, Alfonso Monroy-Muñoz, Irma Eloísa Angeles-Martínez, Javier Santos Coy-Arechavaleta, Andrea Santacruz-Tinoco, Clara Esperanza González-Ibarra, Joaquín Anguiano-Hernández, Yu-Mei González-Bonilla, César Raúl Ramón-Gallegos, Eva Díaz-Quiñonez, José Alberto |
author_sort | Muñoz-Medina, José Esteban |
collection | PubMed |
description | The unpredictable, evolutionary nature of the influenza A virus (IAV) is the primary problem when generating a vaccine and when designing diagnostic strategies; thus, it is necessary to determine the constant regions in viral proteins. In this study, we completed an in silico analysis of the reported epitopes of the 4 IAV proteins that are antigenically most significant (HA, NA, NP, and M2) in the 3 strains with the greatest world circulation in the last century (H1N1, H2N2, and H3N2) and in one of the main aviary subtypes responsible for zoonosis (H5N1). For this purpose, the HMMER program was used to align 3,016 epitopes reported in the Immune Epitope Database and Analysis Resource (IEDB) and distributed in 34,294 stored sequences in the Pfam database. Eighteen epitopes were identified: 8 in HA, 5 in NA, 3 in NP, and 2 in M2. These epitopes have remained constant since they were first identified (~91 years) and are present in strains that have circulated on 5 continents. These sites could be targets for vaccination design strategies based on epitopes and/or as markers in the implementation of diagnostic techniques. |
format | Online Article Text |
id | pubmed-4544958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-45449582015-09-06 In Silico Identification of Highly Conserved Epitopes of Influenza A H1N1, H2N2, H3N2, and H5N1 with Diagnostic and Vaccination Potential Muñoz-Medina, José Esteban Sánchez-Vallejo, Carlos Javier Méndez-Tenorio, Alfonso Monroy-Muñoz, Irma Eloísa Angeles-Martínez, Javier Santos Coy-Arechavaleta, Andrea Santacruz-Tinoco, Clara Esperanza González-Ibarra, Joaquín Anguiano-Hernández, Yu-Mei González-Bonilla, César Raúl Ramón-Gallegos, Eva Díaz-Quiñonez, José Alberto Biomed Res Int Research Article The unpredictable, evolutionary nature of the influenza A virus (IAV) is the primary problem when generating a vaccine and when designing diagnostic strategies; thus, it is necessary to determine the constant regions in viral proteins. In this study, we completed an in silico analysis of the reported epitopes of the 4 IAV proteins that are antigenically most significant (HA, NA, NP, and M2) in the 3 strains with the greatest world circulation in the last century (H1N1, H2N2, and H3N2) and in one of the main aviary subtypes responsible for zoonosis (H5N1). For this purpose, the HMMER program was used to align 3,016 epitopes reported in the Immune Epitope Database and Analysis Resource (IEDB) and distributed in 34,294 stored sequences in the Pfam database. Eighteen epitopes were identified: 8 in HA, 5 in NA, 3 in NP, and 2 in M2. These epitopes have remained constant since they were first identified (~91 years) and are present in strains that have circulated on 5 continents. These sites could be targets for vaccination design strategies based on epitopes and/or as markers in the implementation of diagnostic techniques. Hindawi Publishing Corporation 2015 2015-08-06 /pmc/articles/PMC4544958/ /pubmed/26346523 http://dx.doi.org/10.1155/2015/813047 Text en Copyright © 2015 José Esteban Muñoz-Medina et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Muñoz-Medina, José Esteban Sánchez-Vallejo, Carlos Javier Méndez-Tenorio, Alfonso Monroy-Muñoz, Irma Eloísa Angeles-Martínez, Javier Santos Coy-Arechavaleta, Andrea Santacruz-Tinoco, Clara Esperanza González-Ibarra, Joaquín Anguiano-Hernández, Yu-Mei González-Bonilla, César Raúl Ramón-Gallegos, Eva Díaz-Quiñonez, José Alberto In Silico Identification of Highly Conserved Epitopes of Influenza A H1N1, H2N2, H3N2, and H5N1 with Diagnostic and Vaccination Potential |
title |
In Silico Identification of Highly Conserved Epitopes of Influenza A H1N1, H2N2, H3N2, and H5N1 with Diagnostic and Vaccination Potential |
title_full |
In Silico Identification of Highly Conserved Epitopes of Influenza A H1N1, H2N2, H3N2, and H5N1 with Diagnostic and Vaccination Potential |
title_fullStr |
In Silico Identification of Highly Conserved Epitopes of Influenza A H1N1, H2N2, H3N2, and H5N1 with Diagnostic and Vaccination Potential |
title_full_unstemmed |
In Silico Identification of Highly Conserved Epitopes of Influenza A H1N1, H2N2, H3N2, and H5N1 with Diagnostic and Vaccination Potential |
title_short |
In Silico Identification of Highly Conserved Epitopes of Influenza A H1N1, H2N2, H3N2, and H5N1 with Diagnostic and Vaccination Potential |
title_sort | in silico identification of highly conserved epitopes of influenza a h1n1, h2n2, h3n2, and h5n1 with diagnostic and vaccination potential |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4544958/ https://www.ncbi.nlm.nih.gov/pubmed/26346523 http://dx.doi.org/10.1155/2015/813047 |
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