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An immunoinformatics analysis and structure based modeling of potential HLA class II allele binding T cell epitopes for vaccine design of Japanese Encephalitis Virus
7th Middle East - Global Summit and Expo on Vaccines & Vaccination
September 28-29, 2015 Dubai, UAE

Pawan Sharma1,2, Sitansu Verma2, Sanjay Mishra1 and Ajay Kumar2

1Institute of Foreign Trade and Management, India
2Mangalayatan University, India

Scientific Tracks Abstracts: J Vaccines Vaccin

Abstract:

Japanese encephalitis virus (JEV) is a flavivirus which has significantly increased Japanese encephalitis (JE) disease burden in the developing countries due to the impracticality of immunization, vector control methods and lack of therapeutic treatment. Several effective vaccines are available for the disease, but the high cost and neurological adverse effects demand design and development of peptide based vaccine which is more potent than conventional vaccines. We used immunoinformatics methods to predict the T cell epitopes from the entire JEV proteome. All predicted epitopes were undergone for worldwide conserved region study among all JEV genotypes by the IEDB conservancy tool. This analysis identified completely conserved 14 HLA class II binding epitopes. Among all predicted epitopes, VFLICVLTV and FRTLFGGMS are most potential super antigenic peptides which bind to all HLA allele members of DR4 supertype. The epitope VFLICVLTV and FRTLFGGMS was found totally conserved with maximum HLA allele�??s population coverage. Epitopes and HLA alleles were modeled by the Pepstr and SWISS MODEL server respectively to perform the binding simulation study by Autodock 4.2 and Hex 8.0. NAMD graphical interface module with visual molecular dynamics (VMD) was employed for the Molecular dynamics simulation study of epitope and allele complexes. Epitope FRTLFGGMS - DRB1 0405 HLA allele complex showed best energy minimization values and also attained proper stability during the molecular dynamics simulation. These findings have application in the design and development of short peptide based vaccine and can also serve as diagnostic agents for JE following sufficient verification and validation.

Biography :

Pawan Sharma has completed his MTech Biotechnology from Anna University, Chennai, India, and pursuing Doctoral studies from School of Biotechnology, IFTM University, Moradabad, India. He is also working as Assistant Professor in Department of Biotechnology, Mangalayatan University, India. He has published several papers in reputed journals and awarded with several national fellowships like Department of Biotechnology (India) Junior Research Fellowship (DBT-JRF), GATE, CSIR-NET.

Email: pawansharma90@gmail.com