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Advances in Bioinformatics
Volume 2014 (2014), Article ID 402492, 17 pages
http://dx.doi.org/10.1155/2014/402492
Research Article

Prediction of Epitope-Based Peptides for the Utility of Vaccine Development from Fusion and Glycoprotein of Nipah Virus Using In Silico Approach

1Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh
2International Max Planck Research School for Neurosciences, University of Göttingen, 37077 Göttingen, Germany

Received 14 February 2014; Revised 5 May 2014; Accepted 11 May 2014; Published 24 July 2014

Academic Editor: Stavros J. Hamodrakas

Copyright © 2014 M. Sadman Sakib et al. 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.

How to Cite this Article

M. Sadman Sakib, Md. Rezaul Islam, A. K. M. Mahbub Hasan, and A. H. M. Nurun Nabi, “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, Article ID 402492, 17 pages, 2014. doi:10.1155/2014/402492