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Immunoinformatics Approach for Epitope-Based Peptide Vaccine Design and Active Site Prediction against Polyprotein of Emerging Oropouche Virus
Joint Authors
Rahman, M. Mizanur
Adhikari, Utpal Kumar
Tayebi, Mourad
Source
Journal of Immunology Research
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-08
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
Oropouche virus (OROV) is an emerging pathogen which causes Oropouche fever and meningitis in humans.
Several outbreaks of OROV in South America, especially in Brazil, have changed its status as an emerging disease, but no vaccine or specific drug target is available yet.
Our approach was to identify the epitope-based vaccine candidates as well as the ligand-binding pockets through the use of immunoinformatics.
In this report, we identified both T-cell and B-cell epitopes of the most antigenic OROV polyprotein with the potential to induce both humoral and cell-mediated immunity.
Eighteen highly antigenic and immunogenic CD8+ T-cell epitopes were identified, including three 100% conserved epitopes (TSSWGCEEY, CSMCGLIHY, and LAIDTGCLY) as the potential vaccine candidates.
The selected epitopes showed 95.77% coverage for the mixed Brazilian population.
The docking simulation ensured the binding interaction with high affinity.
A total of five highly conserved and nontoxic linear B-cell epitopes “NQKIDLSQL,” “HPLSTSQIGDRC,” “SHCNLEFTAITADKIMSL,” “PEKIPAKEGWLTFSKEHTSSW,” and “HHYKPTKNLPHVVPRYH” were selected as potential vaccine candidates.
The predicted eight conformational B-cell epitopes represent the accessibility for the entered virus.
In the posttherapeutic strategy, ten ligand-binding pockets were identified for effective inhibitor design against emerging OROV infection.
Collectively, this research provides novel candidates for epitope-based peptide vaccine design against OROV.
American Psychological Association (APA)
Adhikari, Utpal Kumar& Tayebi, Mourad& Rahman, M. Mizanur. 2018. Immunoinformatics Approach for Epitope-Based Peptide Vaccine Design and Active Site Prediction against Polyprotein of Emerging Oropouche Virus. Journal of Immunology Research،Vol. 2018, no. 2018, pp.1-22.
https://search.emarefa.net/detail/BIM-1192798
Modern Language Association (MLA)
Adhikari, Utpal Kumar…[et al.]. Immunoinformatics Approach for Epitope-Based Peptide Vaccine Design and Active Site Prediction against Polyprotein of Emerging Oropouche Virus. Journal of Immunology Research No. 2018 (2018), pp.1-22.
https://search.emarefa.net/detail/BIM-1192798
American Medical Association (AMA)
Adhikari, Utpal Kumar& Tayebi, Mourad& Rahman, M. Mizanur. Immunoinformatics Approach for Epitope-Based Peptide Vaccine Design and Active Site Prediction against Polyprotein of Emerging Oropouche Virus. Journal of Immunology Research. 2018. Vol. 2018, no. 2018, pp.1-22.
https://search.emarefa.net/detail/BIM-1192798
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192798