title: In silico prediction of B- and T- cell epitope on Lassa virus proteins for peptide based subunit vaccine design.
abstract: BACKGROUND
  Lassa fever is a severe, often-fatal and one of the most virulent disease in primates. However, the mechanism of escape of virus from the T-cell mediated immune response of the host cell is not explained in any studies yet. In our studies we had aimed to predict B- and T- cell epitope of Lassa virus protein, for impaling the futuristic approach of developing preventive measures against this disease, further we can also study its presumed viral- host mechanism.
  
  
  METHODS
  Peptide based subunit vaccine was developed from all four protein against Lassa virus. We adopted sequence, 3D structure and fold level in silico analysis to predict B-cell and T-cell epitopes. The 3-D structure was determined for all protein by homology modeling and the modeled structure validated.
  
  
  RESULTS
  One T-cell epitope from Glycoprotein (WDCIMTSYQ) and one from Nucleoprotein (WPYIASRTS) binds to maximum no of MHC class I and MHC class II alleles. They also specially bind to HLA alleles namely, A*0201, A*2705, DRB*0101 and DRB*0401.
  
  
  CONCLUSIONS
  Taken together, the results indicate the Glycoprotein and nucleoprotein are most suitable vaccine candidates against Lassa virus.
authors.affiliation: Department of Biotechnology, Madhav Institute of Technology and Science, Gwalior, Madhya Pradesh, India.
authors.forename: Sitansu Kumar
authors.initials: SK
authors.lastname: Verma
authors.affiliation: Department of Biotechnology, Madhav Institute of Technology and Science, Gwalior, Madhya Pradesh, India.
authors.forename: Soni
authors.initials: S
authors.lastname: Yadav
authors.affiliation: Department of Biotechnology, Faculty of Engineering and Technology, Rama University, Kanpur, Uttar Pradesh, India.
authors.forename: Ajay
authors.initials: A
authors.lastname: Kumar
keywords: B-cell; Lassa virus; T-cell; homology modeling