Abstract
Globally, cervical cancer is the fourth most common cancer among women. After being cloned from a recurring cervical lesion in 1987, Human papillomavirus (HPV) type-45 was identified as a high-risk HPV type. It is the third most common cancer-causing HPV subtype, after HPV-16 and HPV-18. Immunogenic epitopes and structural features provide the most useful information for vaccine development. Computational algorithms provide quick, simple, trustworthy, and cost-efficient methods for predicting immunogenic epitopes. In this study, both B and T cell epitopes have been identified as potential immunogens that can elicit a response from the host system. Three potential B-cell epitopes, i.e., SIAGQYRGQCNTCCDQ, LQEIVLHLEPQNELDP, and DSTVYLPPPSVARVVS, were identified in this study. A potential epitope for E6 (ATLERTEVY) was predicted to 8 MHC-I alleles (HLA-A∗30:02, HLA-B∗15:01, HLA-A∗01:01, HLA-A∗26:01, HLA-A∗32:01, HLA-B∗35:01, HLA-B∗58:01, HLA-A∗11:01) and for L1 epitope (NVFPIFLQM) was predicted for 4 MHC-I alleles (HLA-A∗30:02, HLA-A∗32:01, HLA-B∗53:01, HLA-B∗51:01). To conclude, the epitopes identified here might potentially be useful for developing a cervical cancer vaccine against HPV-45 strains, but in vitro and in vivo trials are needed to validate their safety and efficacy.
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Padavu, S., Kumar, B. K., Kumar, A., & Rai, P. (2023). In-silico Analysis of Human Papillomavirus - 45 E6, E7 & L1 Proteins as Potential Immunogens. Journal of Pure and Applied Microbiology, 17(1), 554–566. https://doi.org/10.22207/JPAM.17.1.53
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