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https://doi.org/10.1038/s41598...
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https://www.nature.com/article...
Article
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PubMed Central
Other literature type . 2021
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https://doaj.org/article/2872f...
Article . 2021
Data sources: DOAJ
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Design of a multi-epitope vaccine against cervical cancer using immunoinformatics approaches

Authors: Samira Sanami; Fatemeh Azadegan-Dehkordi; Mahmoud Rafieian-Kopaei; Majid Salehi; Maryam Ghasemi-Dehnoo; Mehran Mahooti; Morteza Alizadeh; +1 Authors

Design of a multi-epitope vaccine against cervical cancer using immunoinformatics approaches

Abstract

AbstractCervical cancer, caused by human papillomavirus (HPV), is the fourth most common type of cancer among women worldwide. While HPV prophylactic vaccines are available, they have no therapeutic effects and do not clear up existing infections. This study aims to design a therapeutic vaccine against cervical cancer using reverse vaccinology. In this study, the E6 and E7 oncoproteins from HPV16 were chosen as the target antigens for epitope prediction. Cytotoxic T lymphocytes (CTL) and helper T lymphocytes (HTL) epitopes were predicted, and the best epitopes were selected based on antigenicity, allergenicity, and toxicity. The final vaccine construct was composed of the selected epitopes, along with the appropriate adjuvant and linkers. The multi-epitope vaccine was evaluated in terms of physicochemical properties, antigenicity, and allergenicity. The tertiary structure of the vaccine construct was predicted. Furthermore, several analyses were also carried out, including molecular docking, molecular dynamics (MD) simulation, and in silico cloning of the vaccine construct. The results showed that the final proposed vaccine could be considered an effective therapeutic vaccine for HPV; however, in vitro and in vivo experiments are required to validate the efficacy of this vaccine candidate.

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Keywords

Science, Papillomavirus E7 Proteins, Q, R, Computational Biology, Uterine Cervical Neoplasms, Oncogene Proteins, Viral, T-Lymphocytes, Helper-Inducer, Cancer Vaccines, Article, Molecular Docking Simulation, Repressor Proteins, Epitopes, Immunogenicity, Vaccine, Medicine, Humans, Female, Papillomavirus Vaccines, T-Lymphocytes, Cytotoxic

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    57
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
57
Top 1%
Top 10%
Top 1%
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gold