文摘
Human papillomavirus (HPV), one of the most common sexually transmitted infections worldwide, affects around 300 million new individuals each year. The HPV E5 gen appear to have coevolved with the major HPV oncogenes E6 and E7, and their presence in the viral genome correlates with risk of cancer. HPV-16 E5 is an oncoprotein with many functions during HPV-16 infection. The development of computational methods for epitope finding becomes an alternative to the wet experimental techniques, in order to save time and cost. In this work the bioinformatic tools: Predict Protein, BCPREDS (AAP, BCpreds and FBCPred), ABCpred, BepiPred, SVMTriP, LBtope, IEDB and LEPS were used in order to elucidate B-cell epitopes on HPV-16 E5. The HPV-16 E5 secondary structure was used to mapping the B-cell epitopes obtained in this study. A total of 202 B-cell epitopes and 44 B-cell epitopes with tumor activity were obtained with all together bioinformatics tools. Differences in ratio of these epitopes with the three α-helices of the secondary structure determined by Predict Protein were observed. The predicted epitopes in this study could facilitate the design of future therapeutic vaccines and the understanding of the immunological mechanisms of HPV-16.
