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In Silico Identification of Highly Conserved Epitopes of Influenza A H1N1, H2N2, H3N2, and H5N1 with Diagnostic and Vaccination Potential
Joint Authors
Muñoz-Medina, José Esteban
Sánchez-Vallejo, Carlos Javier
Méndez-Tenorio, Alfonso
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
Angeles-Martinez, Javier
Monroy-Muñoz, Irma
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Muñoz-Medina, José Esteban& Sánchez-Vallejo, Carlos Javier& Méndez-Tenorio, Alfonso& Monroy-Muñoz, Irma& Angeles-Martinez, Javier& Santos Coy-Arechavaleta, Andrea…[et al.]. 2015. In Silico Identification of Highly Conserved Epitopes of Influenza A H1N1, H2N2, H3N2, and H5N1 with Diagnostic and Vaccination Potential. BioMed Research International،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1056825
Modern Language Association (MLA)
Muñoz-Medina, José Esteban…[et al.]. In Silico Identification of Highly Conserved Epitopes of Influenza A H1N1, H2N2, H3N2, and H5N1 with Diagnostic and Vaccination Potential. BioMed Research International No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1056825
American Medical Association (AMA)
Muñoz-Medina, José Esteban& Sánchez-Vallejo, Carlos Javier& Méndez-Tenorio, Alfonso& Monroy-Muñoz, Irma& Angeles-Martinez, Javier& Santos Coy-Arechavaleta, Andrea…[et al.]. In Silico Identification of Highly Conserved Epitopes of Influenza A H1N1, H2N2, H3N2, and H5N1 with Diagnostic and Vaccination Potential. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1056825
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1056825