Computer-aided vaccine design for liver cancer using epitopes of HBx protein isolates from HBV substrains
by Mamta Sagar, Arvind K. Yadav
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 7, No. 3, 2011

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.

Online publication date: Sat, 24-Jan-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bioinformatics Research and Applications (IJBRA):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com