In-silico epitope based vaccine an excellent solution against Marburg virus
Abstract
Marburg virus is the most deadly virus identified in the year 1967. MARV comprises a 19-KB noninfectious single-stranded RNA genome that encodes seven basic structural proteins. Right now; there is no accessible treatment or vaccine to cure the MARV disease since couples of immunizations are under clinical trial studies. Here the computational approach is used to predict multi-epitope vaccine candidates against this virus. Both T cell and B cell were checked for the peptides to confirm that they can bring both humoral and cell-mediated immunity. A 9mer T cell epitope ALSLTCAGI interacted with most of the MHC-I alleles and 10mer B cell epitope SLFVQAALYV was identified on antigenicity prediction. The regions; 7 – 12, 139 – 144 and 186 – 191 amino acid residues were more accessible as B cell epitopes. The predicted epitope docked with the human HLA:*A0201. On the basis of the computational analysis, the predicted epitope can be the best accessible solution to cure infections of Marburg virus
Keywords:
Epitope, HLA, MHC, docking, allergenicity, antigenicDownloads
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Copyright (c) 2016 Anum Munir, Shumaila Azam, Maria Manzoor, Azhar Mehmood, G. Mujtaba Shah, Sahar Fazal

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