Prediction of Epitope-Based Peptides for the Utility of Vaccine Development from Fusion and Glycoprotein of Nipah Virus Using In Silico Approach
Joint Authors
Sakib, M. Sadman
Nabi, A. H. M. Nurun
Hasan, A. K. M. Mahbub
Islam, Md. Rezaul
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-24
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
This study aims to design epitope-based peptides for the utility of vaccine development by targeting glycoprotein G and envelope protein F of Nipah virus (NiV) that, respectively, facilitate attachment and fusion of NiV with host cells.
Using various databases and tools, immune parameters of conserved sequence(s) from G and F proteins of different isolates of NiV were tested to predict probable epitope(s).
Binding analyses of the peptides with MHC class-I and class-II molecules, epitope conservancy, population coverage, and linear B cell epitope prediction were analyzed.
Predicted peptides interacted with seven or more MHC alleles and illustrated population coverage of more than 99% and 95%, for G and F proteins, respectively.
The predicted class-I nonamers, SLIDTSSTI and EWISIVPNF, superimposed on the putative decameric B cell epitopes, were also identified as core sequences of the most probable class-II 15-mer peptides GPKVSLIDTSSTITI and EWISIVPNFILVRNT.
These peptides were further validated for their binding to specific HLA alleles using in silico docking technique.
Our in silico analysis suggested that the predicted epitopes, either GPKVSLIDTSSTITI or EWISIVPNFILVRNT, could be a better choice as universal vaccine component against NiV irrespective of different isolates which may elicit both humoral and cell-mediated immunity.
American Psychological Association (APA)
Sakib, M. Sadman& Islam, Md. Rezaul& Hasan, A. K. M. Mahbub& Nabi, A. H. M. Nurun. 2014. Prediction of Epitope-Based Peptides for the Utility of Vaccine Development from Fusion and Glycoprotein of Nipah Virus Using In Silico Approach. Advances in Bioinformatics،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-469202
Modern Language Association (MLA)
Sakib, M. Sadman…[et al.]. Prediction of Epitope-Based Peptides for the Utility of Vaccine Development from Fusion and Glycoprotein of Nipah Virus Using In Silico Approach. Advances in Bioinformatics No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-469202
American Medical Association (AMA)
Sakib, M. Sadman& Islam, Md. Rezaul& Hasan, A. K. M. Mahbub& Nabi, A. H. M. Nurun. Prediction of Epitope-Based Peptides for the Utility of Vaccine Development from Fusion and Glycoprotein of Nipah Virus Using In Silico Approach. Advances in Bioinformatics. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-469202
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-469202