title: Computer-aided vaccine design for liver cancer using epitopes of HBx protein isolates from HBV substrains.
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.
authors.affiliation: Department of Bioinformatics, University Institute of Engineering and Technology, Chhatrapati Shahuji Maharaj University, Kanpur 208024, India. mamta1060@yahoo.com
authors.forename: Mamta
authors.initials: M
authors.lastname: Sagar
authors.forename: Arvind K
authors.initials: AK
authors.lastname: Yadav
mesh_terms: D000818:Animals; D000939:Epitopes; D006515:Hepatitis B virus; D006801:Humans; D008113:Liver Neoplasms; D011485:Protein Binding; D015398:Signal Transduction; D015534:Trans-Activators; D014612:Vaccines
chemical_list: D000939:Epitopes; D015534:Trans-Activators; D014612:Vaccines