Vaccine design by immunoinformatics against HCV: Chemical characterization and prediction of T-cell epitopes

Detalhes bibliográficos
Autor(a) principal: Santos, Fabiano Ricardo Fontes
Data de Publicação: 2021
Outros Autores: Santana, Esther Santos, Droppa-Almeida, Daniela
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/22994
Resumo: Hepatitis C is a disease that affects the liver causing its inflammation, reaching thousands of people every year, however currently there are no vaccines for the virus responsible for the disease, HCV, although studies are already carried out on its feasibility. Therefore, reverse vaccinology can be of great help in detecting promising targets for use as a vaccine antigen and concomitantly formulating an effective vaccine. The respective work aims to obtain relevant data for the design of promising vaccines against HCV through the use of bioinformatics tools. Therefore, after the virus sequences were obtained from the National Center for Biotechnological Information (NCBI), analyzes of the antigenic potential were carried out using VaxiJen v.2.0. and from ANTIGENpro, together with AlgPred, the allergenic potential was verified, soon after the proteins were verified and selected, they would proceed to the next steps where they were submitted for the characterization of the physicochemical properties, through and the prediction of T cell epitopes was performed on NetTepi. Among the results obtained, it can be noted that the E2 protein was the only one to demonstrate allergenicity, whereas the E1 protein did not present antigenic potential and the other proteins were classified as unstable, following only the NS4a protein for prediction of T cell epitopes.
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spelling Vaccine design by immunoinformatics against HCV: Chemical characterization and prediction of T-cell epitopesDiseño de vacuna por inmunoinformática contra el HCV: Caracterización química y predicción de epítopos de células TDesenho vacinal por imunoinformática contra HCV: Caracterização química e predição de epítopos de células T Hepatitis CBioinformáticaVacuna.Hepatitis CBioinformaticsVaccine.Hepatite CBioinformáticaVacina. Hepatitis C is a disease that affects the liver causing its inflammation, reaching thousands of people every year, however currently there are no vaccines for the virus responsible for the disease, HCV, although studies are already carried out on its feasibility. Therefore, reverse vaccinology can be of great help in detecting promising targets for use as a vaccine antigen and concomitantly formulating an effective vaccine. The respective work aims to obtain relevant data for the design of promising vaccines against HCV through the use of bioinformatics tools. Therefore, after the virus sequences were obtained from the National Center for Biotechnological Information (NCBI), analyzes of the antigenic potential were carried out using VaxiJen v.2.0. and from ANTIGENpro, together with AlgPred, the allergenic potential was verified, soon after the proteins were verified and selected, they would proceed to the next steps where they were submitted for the characterization of the physicochemical properties, through and the prediction of T cell epitopes was performed on NetTepi. Among the results obtained, it can be noted that the E2 protein was the only one to demonstrate allergenicity, whereas the E1 protein did not present antigenic potential and the other proteins were classified as unstable, following only the NS4a protein for prediction of T cell epitopes.La hepatitis C es una enfermedad que afecta al hígado provocando su inflamación, llegando a miles de personas cada año, sin embargo actualmente no existen vacunas para el virus responsable de la enfermedad, el VHC, aunque ya se están realizando estudios sobre su viabilidad. Por lo tanto, la vacunación inversa puede ser de gran ayuda para detectar dianas prometedoras para su uso como antígeno de vacuna y, concomitantemente, formular una vacuna eficaz. El trabajo respectivo tiene como objetivo obtener datos relevantes para el diseño de vacunas prometedoras contra el VHC mediante el uso de herramientas bioinformáticas. Por lo tanto, después de que se obtuvieron las secuencias de virus del Centro Nacional de Información Biotecnológica (NCBI), se realizaron análisis del potencial antigénico utilizando VaxiJen v.2.0. y desde ANTIGENpro, en conjunto con AlgPred, se verificó el potencial alergénico, luego de verificadas y seleccionadas las proteínas, se pasaría a los siguientes pasos donde se sometían a la caracterización de las propiedades fisicoquímicas, mediante y la predicción de epítopos de células T se realizó en NetTepi. Entre los resultados obtenidos, se puede observar que la proteína E2 fue la única que demostró alergenicidad, mientras que la proteína E1 no presentó potencial antigénico y las demás proteínas se clasificaron como inestables, siguiendo solo a la proteína NS4a para la predicción de epítopos de células T.A hepatite C é uma enfermidade que atinge o fígado causando sua inflamação, alcançando milhares de pessoas todos os anos, contudo atualmente ainda não existem vacinas para o vírus responsável pela doença, o HCV, embora estudos já sejam realizados sobre a viabilidade. Assim sendo, a vacinologia reversa pode ser de grande auxílio para detecção de alvos promissores para utilização como antígeno vacinal e concomitantemente formulação de uma vacina eficaz. O respectivo trabalho tem como objetivo obter dados relevantes para o desenho de vacinas promissoras contra o HCV através da utilização de ferramentas de bioinformática. Para tanto, após as sequências do vírus serem obtidas no Centro Nacional de Informação Biotecnológica (NCBI), foram realizadas as análises do potencial antigênico através do VaxiJen v.2.0. e do ANTIGENpro, juntamente foi verificado o potencial alergênico com o AlgPred, logo após as proteínas serem selecionadas, seguiriam para as próximas etapas onde foram submetidas para a caracterização das propriedades físico-químicas, através do ProtParam e a predição de epítopos de células T foi realizada no NetTepi. Dentre os resultados obtidos pode-se notar que, a proteína E2 foi a única a se demonstrar alergênica, já à proteína E1 não apresentou potencial antigénico e as demais proteínas foram classificadas como instáveis, seguindo somente a proteína NS4a para predição de epítopos de células T.Research, Society and Development2021-12-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2299410.33448/rsd-v10i16.22994Research, Society and Development; Vol. 10 No. 16; e55101622994Research, Society and Development; Vol. 10 Núm. 16; e55101622994Research, Society and Development; v. 10 n. 16; e551016229942525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/22994/20713Copyright (c) 2021 Fabiano Ricardo Fontes Santos; Esther Santos Santana; Daniela Droppa-Almeidahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSantos, Fabiano Ricardo Fontes Santana, Esther Santos Droppa-Almeida, Daniela 2021-12-20T11:03:07Zoai:ojs.pkp.sfu.ca:article/22994Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:41:59.857458Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Vaccine design by immunoinformatics against HCV: Chemical characterization and prediction of T-cell epitopes
Diseño de vacuna por inmunoinformática contra el HCV: Caracterización química y predicción de epítopos de células T
Desenho vacinal por imunoinformática contra HCV: Caracterização química e predição de epítopos de células T
title Vaccine design by immunoinformatics against HCV: Chemical characterization and prediction of T-cell epitopes
spellingShingle Vaccine design by immunoinformatics against HCV: Chemical characterization and prediction of T-cell epitopes
Santos, Fabiano Ricardo Fontes
Hepatitis C
Bioinformática
Vacuna.
Hepatitis C
Bioinformatics
Vaccine.
Hepatite C
Bioinformática
Vacina.
title_short Vaccine design by immunoinformatics against HCV: Chemical characterization and prediction of T-cell epitopes
title_full Vaccine design by immunoinformatics against HCV: Chemical characterization and prediction of T-cell epitopes
title_fullStr Vaccine design by immunoinformatics against HCV: Chemical characterization and prediction of T-cell epitopes
title_full_unstemmed Vaccine design by immunoinformatics against HCV: Chemical characterization and prediction of T-cell epitopes
title_sort Vaccine design by immunoinformatics against HCV: Chemical characterization and prediction of T-cell epitopes
author Santos, Fabiano Ricardo Fontes
author_facet Santos, Fabiano Ricardo Fontes
Santana, Esther Santos
Droppa-Almeida, Daniela
author_role author
author2 Santana, Esther Santos
Droppa-Almeida, Daniela
author2_role author
author
dc.contributor.author.fl_str_mv Santos, Fabiano Ricardo Fontes
Santana, Esther Santos
Droppa-Almeida, Daniela
dc.subject.por.fl_str_mv Hepatitis C
Bioinformática
Vacuna.
Hepatitis C
Bioinformatics
Vaccine.
Hepatite C
Bioinformática
Vacina.
topic Hepatitis C
Bioinformática
Vacuna.
Hepatitis C
Bioinformatics
Vaccine.
Hepatite C
Bioinformática
Vacina.
description Hepatitis C is a disease that affects the liver causing its inflammation, reaching thousands of people every year, however currently there are no vaccines for the virus responsible for the disease, HCV, although studies are already carried out on its feasibility. Therefore, reverse vaccinology can be of great help in detecting promising targets for use as a vaccine antigen and concomitantly formulating an effective vaccine. The respective work aims to obtain relevant data for the design of promising vaccines against HCV through the use of bioinformatics tools. Therefore, after the virus sequences were obtained from the National Center for Biotechnological Information (NCBI), analyzes of the antigenic potential were carried out using VaxiJen v.2.0. and from ANTIGENpro, together with AlgPred, the allergenic potential was verified, soon after the proteins were verified and selected, they would proceed to the next steps where they were submitted for the characterization of the physicochemical properties, through and the prediction of T cell epitopes was performed on NetTepi. Among the results obtained, it can be noted that the E2 protein was the only one to demonstrate allergenicity, whereas the E1 protein did not present antigenic potential and the other proteins were classified as unstable, following only the NS4a protein for prediction of T cell epitopes.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-06
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/22994
10.33448/rsd-v10i16.22994
url https://rsdjournal.org/index.php/rsd/article/view/22994
identifier_str_mv 10.33448/rsd-v10i16.22994
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/22994/20713
dc.rights.driver.fl_str_mv Copyright (c) 2021 Fabiano Ricardo Fontes Santos; Esther Santos Santana; Daniela Droppa-Almeida
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Fabiano Ricardo Fontes Santos; Esther Santos Santana; Daniela Droppa-Almeida
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 16; e55101622994
Research, Society and Development; Vol. 10 Núm. 16; e55101622994
Research, Society and Development; v. 10 n. 16; e55101622994
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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