Immuno-Informatic Speculation and Computational Modeling of Novel MHC-II Human Leukocyte Antigenic Alleles to Elicit Vaccine for Ebola Virus
Arpit Saraswat, Shraddha, Amisha Jain, Aakanksha Pathak, Sitansu Kumar Verma and Ajay Kumar*
Department of Biotechnology, Institute of Biomedical Education and Research, Mangalayatan University, Aligarh-202145, India
- *Corresponding Author:
- Dr. Ajay Kumar
Department of Biotechnology
Institute of Biomedical Education and Research
Mangalayatan University, Aligarh-202145, India
E-mail: [email protected]
Received date: July 06, 2012; Accepted date: August 13, 2012; Published date: August 18, 2012
Citation: Saraswat A, Shraddha, Jain A, Pathak A, Kumar Verma S, Kumar A (2012) Immuno-Informatic Speculation and Computational Modeling of Novel MHC-II Human Leukocyte Antigenic Alleles to Elicit Vaccine for Ebola Virus. J Vaccines Vaccin 3:141. doi:10.4172/2157-7560.1000141
Copyright: © 2012 Saraswat A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Ebola hemorrhagic fever (Ebola HF) 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 on the mapping of novel antigenic determinants of this virus, for impaling the futuristic approach of developing preventive measures against this disease, further we can also study its presumed viral- host mechanism. The complexity of virus- lead compound can be easily accessed through our research work as hereby we emphasized to calibrate the binding energies and stability patterns of antigenic peptides. Our postulation is based on the motifs of MHC II binding epitopes that are specific alleles. Amongst the predicted epitopes, three epitopes were selected including, IVRQRVIPV, FLLMLCLHH and FRLMRTNFL. These three candidates out of 51 antigenic epitopes have the highest score for reactivating with MHC class II in ProPred software and on the basis of highest score binders we are easily be able to distinguish it’s binding as well as non- binding peptides, whereas this information is highly significant for designing multi-epitope vaccines (multivalent vaccines) without compromising the human population coverage.