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Trends in Bioinformatics
  Year: 2013 | Volume: 6 | Issue: 1 | Page No.: 10-16
DOI: 10.3923/tb.2013.10.16
 
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Screening and Structure-based Modeling of T-Cell Epitopes of Marburg Virus NP, GP and VP40: An Immunoinformatic Approach for Designing Peptide-based Vaccine
Ajay Kumar, Amisha Jain, Shraddha and Sitansu Kumar Verma

Abstract:
Marburg hemorrhagic fever (Marburg HF) is a severe, often fatal and rapidly progressive zoonotic viral disease seen in humans and non-human primates with high mortality. This study is aimed at conducting the screening, modeling and simulation studies of putative epitopes/peptides of Marburg Virus (MARV) antigenic proteins-Nucleoprotein (NP), Glycoprotein (GP) and membrane associated protein (VP40) for vaccine development. In the present study, immunoinformatic tools ProPred 1, BIMAS and SYFPETHI were used to predict the promiscuous MHC class I epitopes of Marburg NP, GP and VP40. The molecular modeling of the selected immunogenic epitopes by using Modeller and ultimately the simulation studies of epitopes for finding out the energy minimization. The first epitope/peptide DAINSGIDL at position 40-48 showed maximum binding score with B_5101 HLA allele. Second peptide EPHYSPLIL at position 106-104 also showed maximum binding score with B_5101 and the third peptide FLSFCSLFL at position 132-140 showed maximum binding score with A_0201 HLA allele. These three highest scoring nonameric epitopes predicted by ProPred 1 are also evaluated as binders by BIMAS and SYFPETHI. The present study emphasizing on the role of immunoinformatics in computational vaccinology. Vaccination is the most effective measure to treat infectious diseases, therefore, designing epitope based vaccines are easy to produce, more specific, safe and cost effective. These selected epitopes are highly potential to induce T-cell mediated immune response and are expected to be useful in the designing of either a DNA vaccine or a subunit vaccine against Marburg virus.
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How to cite this article:

Ajay Kumar, Amisha Jain, Shraddha and Sitansu Kumar Verma, 2013. Screening and Structure-based Modeling of T-Cell Epitopes of Marburg Virus NP, GP and VP40: An Immunoinformatic Approach for Designing Peptide-based Vaccine. Trends in Bioinformatics, 6: 10-16.

DOI: 10.3923/tb.2013.10.16

URL: https://scialert.net/abstract/?doi=tb.2013.10.16

 
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