Immunoinformatics features linked to leishmania vaccine development : data integration of experimental and in silico studies.
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFOP |
Texto Completo: | http://www.repositorio.ufop.br/handle/123456789/8576 https://doi.org/10.3390/ijms18020371 |
Resumo: | Leishmaniasis is a wide-spectrum disease caused by parasites from Leishmania genus. There is no human vaccine available and it is considered by many studies as apotential effective tool for disease control. To discover novel antigens, computational programs have been used in reverse vaccinology strategies. In this work, we developed a validation antigen approach that integrates prediction of B and T cell epitopes, analysis of Protein-Protein Interaction (PPI) networks and metabolic pathways. We selected twenty candidate proteins from Leishmania tested in murine model, with experimental outcome published in the literature. The predictions for CD4+ and CD8+ T cell epitopes were correlated with protection in experimental outcomes. We also mapped immunogenic proteins on PPI networks in order to find Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways associated with them. Our results suggest that non-protective antigens have lowest frequency of predicted T CD4+ and T CD8+ epitopes, compared with protective ones. T CD4+ and T CD8+ cells are more related to leishmaniasis protection in experimental outcomes than B cell predicted epitopes. Considering KEGG analysis, the proteins considered protective are connected to nodes with few pathways, including those associated with ribosome biosynthesis and purine metabolism. |
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Brito, Rory Cristiane Fortes deGuimarães, Frederico GonçalvesVelloso, João Paulo LinharesOliveira, Rodrigo Corrêa deRuiz, Jeronimo ConceiçãoReis, Alexandre BarbosaResende, Daniela de Melo2017-08-30T16:55:51Z2017-08-30T16:55:51Z2017BRITO, R. C. F. et al. Immunoinformatics features linked to leishmania vaccine development: data integration of experimental and in silico studies. International Journal of Molecular Sciences, v. 18, p. 371, 2017. Disponível em: <http://www.mdpi.com/1422-0067/18/2/371>. Acesso em: 29 ago. 2017.1661-6596http://www.repositorio.ufop.br/handle/123456789/8576https://doi.org/10.3390/ijms18020371Leishmaniasis is a wide-spectrum disease caused by parasites from Leishmania genus. There is no human vaccine available and it is considered by many studies as apotential effective tool for disease control. To discover novel antigens, computational programs have been used in reverse vaccinology strategies. In this work, we developed a validation antigen approach that integrates prediction of B and T cell epitopes, analysis of Protein-Protein Interaction (PPI) networks and metabolic pathways. We selected twenty candidate proteins from Leishmania tested in murine model, with experimental outcome published in the literature. The predictions for CD4+ and CD8+ T cell epitopes were correlated with protection in experimental outcomes. We also mapped immunogenic proteins on PPI networks in order to find Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways associated with them. Our results suggest that non-protective antigens have lowest frequency of predicted T CD4+ and T CD8+ epitopes, compared with protective ones. T CD4+ and T CD8+ cells are more related to leishmaniasis protection in experimental outcomes than B cell predicted epitopes. Considering KEGG analysis, the proteins considered protective are connected to nodes with few pathways, including those associated with ribosome biosynthesis and purine metabolism.O periódico International Journal of Molecular Sciences permite o arquivamento da versão PDF do editor em repositórios institucionais. Fonte: Sherpa/Romeo <http://sherpa.ac.uk/romeo/search.php?issn=1661-6596>. Acesso em: 01 dez. 2019.info:eu-repo/semantics/openAccessEpitope predictionPathwaysReverse vaccinologyLeishmaniasisImmunoinformatics features linked to leishmania vaccine development : data integration of experimental and in silico studies.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOPLICENSElicense.txtlicense.txttext/plain; charset=utf-8924http://www.repositorio.ufop.br/bitstream/123456789/8576/2/license.txt62604f8d955274beb56c80ce1ee5dcaeMD52ORIGINALARTIGO_ImmunoinformaticsFeaturesLinked.pdfARTIGO_ImmunoinformaticsFeaturesLinked.pdfapplication/pdf2556856http://www.repositorio.ufop.br/bitstream/123456789/8576/1/ARTIGO_ImmunoinformaticsFeaturesLinked.pdf0436fa831bf5b5e2ae03338800248a1bMD51123456789/85762020-01-22 10:23:17.84oai:localhost: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ório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332020-01-22T15:23:17Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false |
dc.title.pt_BR.fl_str_mv |
Immunoinformatics features linked to leishmania vaccine development : data integration of experimental and in silico studies. |
title |
Immunoinformatics features linked to leishmania vaccine development : data integration of experimental and in silico studies. |
spellingShingle |
Immunoinformatics features linked to leishmania vaccine development : data integration of experimental and in silico studies. Brito, Rory Cristiane Fortes de Epitope prediction Pathways Reverse vaccinology Leishmaniasis |
title_short |
Immunoinformatics features linked to leishmania vaccine development : data integration of experimental and in silico studies. |
title_full |
Immunoinformatics features linked to leishmania vaccine development : data integration of experimental and in silico studies. |
title_fullStr |
Immunoinformatics features linked to leishmania vaccine development : data integration of experimental and in silico studies. |
title_full_unstemmed |
Immunoinformatics features linked to leishmania vaccine development : data integration of experimental and in silico studies. |
title_sort |
Immunoinformatics features linked to leishmania vaccine development : data integration of experimental and in silico studies. |
author |
Brito, Rory Cristiane Fortes de |
author_facet |
Brito, Rory Cristiane Fortes de Guimarães, Frederico Gonçalves Velloso, João Paulo Linhares Oliveira, Rodrigo Corrêa de Ruiz, Jeronimo Conceição Reis, Alexandre Barbosa Resende, Daniela de Melo |
author_role |
author |
author2 |
Guimarães, Frederico Gonçalves Velloso, João Paulo Linhares Oliveira, Rodrigo Corrêa de Ruiz, Jeronimo Conceição Reis, Alexandre Barbosa Resende, Daniela de Melo |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Brito, Rory Cristiane Fortes de Guimarães, Frederico Gonçalves Velloso, João Paulo Linhares Oliveira, Rodrigo Corrêa de Ruiz, Jeronimo Conceição Reis, Alexandre Barbosa Resende, Daniela de Melo |
dc.subject.por.fl_str_mv |
Epitope prediction Pathways Reverse vaccinology Leishmaniasis |
topic |
Epitope prediction Pathways Reverse vaccinology Leishmaniasis |
description |
Leishmaniasis is a wide-spectrum disease caused by parasites from Leishmania genus. There is no human vaccine available and it is considered by many studies as apotential effective tool for disease control. To discover novel antigens, computational programs have been used in reverse vaccinology strategies. In this work, we developed a validation antigen approach that integrates prediction of B and T cell epitopes, analysis of Protein-Protein Interaction (PPI) networks and metabolic pathways. We selected twenty candidate proteins from Leishmania tested in murine model, with experimental outcome published in the literature. The predictions for CD4+ and CD8+ T cell epitopes were correlated with protection in experimental outcomes. We also mapped immunogenic proteins on PPI networks in order to find Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways associated with them. Our results suggest that non-protective antigens have lowest frequency of predicted T CD4+ and T CD8+ epitopes, compared with protective ones. T CD4+ and T CD8+ cells are more related to leishmaniasis protection in experimental outcomes than B cell predicted epitopes. Considering KEGG analysis, the proteins considered protective are connected to nodes with few pathways, including those associated with ribosome biosynthesis and purine metabolism. |
publishDate |
2017 |
dc.date.accessioned.fl_str_mv |
2017-08-30T16:55:51Z |
dc.date.available.fl_str_mv |
2017-08-30T16:55:51Z |
dc.date.issued.fl_str_mv |
2017 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
BRITO, R. C. F. et al. Immunoinformatics features linked to leishmania vaccine development: data integration of experimental and in silico studies. International Journal of Molecular Sciences, v. 18, p. 371, 2017. Disponível em: <http://www.mdpi.com/1422-0067/18/2/371>. Acesso em: 29 ago. 2017. |
dc.identifier.uri.fl_str_mv |
http://www.repositorio.ufop.br/handle/123456789/8576 |
dc.identifier.issn.none.fl_str_mv |
1661-6596 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.3390/ijms18020371 |
identifier_str_mv |
BRITO, R. C. F. et al. Immunoinformatics features linked to leishmania vaccine development: data integration of experimental and in silico studies. International Journal of Molecular Sciences, v. 18, p. 371, 2017. Disponível em: <http://www.mdpi.com/1422-0067/18/2/371>. Acesso em: 29 ago. 2017. 1661-6596 |
url |
http://www.repositorio.ufop.br/handle/123456789/8576 https://doi.org/10.3390/ijms18020371 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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reponame:Repositório Institucional da UFOP instname:Universidade Federal de Ouro Preto (UFOP) instacron:UFOP |
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Universidade Federal de Ouro Preto (UFOP) |
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UFOP |
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Repositório Institucional da UFOP |
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Repositório Institucional da UFOP |
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http://www.repositorio.ufop.br/bitstream/123456789/8576/2/license.txt http://www.repositorio.ufop.br/bitstream/123456789/8576/1/ARTIGO_ImmunoinformaticsFeaturesLinked.pdf |
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