A najor current challenge and constraint in cervical cancer research is the development of vaccines against no computational work has been carried out for high risk forms which are considered to cause cervical cancer. their corresponding secondary structure conformations. We used extremely precise bioinformatics tools like High risk HPVs -E6 protein -computational -epitope -peptide vaccine
RESEARCH ARTICLE
Approachearly genes (E1, E2, E4, E5, E6 and E7) which regulate the vegetative and productive phases of viral cycle and the late genes, L1 and L2, which codes for the major 2010). The risk factors for tumor development include persistent infection with high-risk viral types (Longworth et al., 2004) and transforming potential of these high-risk HPVs is due to viral oncoproteins, E6 and E7 (Fakhry and Gillison, 2006). The E7 induces cell proliferation, disrupting the cell cycle regulation by inactivating the pRb protein, whereas E6 blocks cell apoptosis by directing the p53 tumor suppressor protein to the proteasome. Thus, the expression of high-risk HPV E6 and E7 results in cellular proliferation, loss of cell cycle regulation, impaired cellular differentiation, increased frequency of spontaneous and mutagen-induced mutations, and chromosomal instability (Munger and Howley, 2002). According to the latest report (de Sanjose et al., 2010), HPV types 16, 18, 31, 33, 35, 45, 52, and 58 should be given priority when the cross-protective effects of current vaccines are considered. It is also expected that the next include each of the eight HPV types. Of these the most common high-risk subtypes of HPV are 16, 18, and 45.