Prediction of epitopes and structural properties of Iranian HPV-16 E6 by bioinformatics methods.

ABSTRACT

HPV-16 is the HPV most often linked to cervical carcinoma. E6 of the HPV-16 which expressed early in cancer cells is a target for immune therapeutic methods. In the present study, after fetching the sequence of HPV-16 E6 (accession No ABC48950) from NCBI databank, by using hydrophilicity, flexibility, accessibility, turns, exposed surface, polarity and antigenic propensity scales, B cell epitopes of the protein were predicted. In addition, MHCPred version 2.0 program was used to predict MHC Class I and Class II alleles. The sequences of the epitopes were also found out. According to this computer-based prediction the results from A0203 and DRB0101 reveal lower IC50 than other alleles. For A0203 allele, peptide with the best binding affinity was 25ELQTTIHDI33. For DRB0101 allele, the peptide was 39YCKQQLLRR47. Different structural features of the protein were also predicted. These features were including glycosylation, kinase C phosphorylation, Casein kinase II phosphorylation and N-myristylation sites, and disulfide bonding states. By using these computational scales and programs, 0 glycosylation, 3 kinase C phosphorylation, 2 casein kinase II phosphorylation and 1 N-myristylation sites and 2 disulfide bonds were predicted. Development and approval of new vaccines are keys for control of cancer. Epitopes and structural features of proteins can be predicted and this information can help us in molecular and medical studies of viruses.