Title: Computer-aided vaccine design for liver cancer using epitopes of HBx protein isolates from HBV substrains

Authors: Mamta Sagar, Arvind K. Yadav

Addresses: Department of Bioinformatics, University Institute of Engineering and Technology, Chhatrapati Shahuji Maharaj University, Kanpur 208024, India. ' Department of Bioinformatics, University Institute of Engineering and Technology, Chhatrapati Shahuji Maharaj University, Kanpur 208024, India

Abstract: Hepatitis B Virus encodes HBX, which is considered to be responsible for virus infection in mammals. The HBx modulates the signal transduction pathways toward the aetiological aspects of establishing liver cancer. In this context, to predict epitopes from three HBX protein (for vaccine designs), use of certain computational tools are indicated. Relevant study shows that seven binding peptides for MHC class I and 16 for MHC class II molecule bear significant binding affinity. Epitope LSAMSTTDL for MHC I and LRFTSARRM, HLSLRGLPV for MHC II have highest log-values of 0.746 and (0.8628, 0.8048), respectively. Vaccine model is designed using predicted epitopes. Such patterns characterise possible biological activity of the vaccine of interest.

Keywords: liver cancer; HBx; HCC; HBV genome; in silico DNA vaccines; computer-aided design; vaccine design; epitope prediction; MHC; ANNs; artificial neural networks; promoters; pattern searching; bioinformatics; hepatitis B virus; binding peptides.

DOI: 10.1504/IJBRA.2011.041740

International Journal of Bioinformatics Research and Applications, 2011 Vol.7 No.3, pp.299 - 316

Published online: 02 Aug 2011 *

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