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Title: Immunoinformatics features linked to leishmania vaccine development : data integration of experimental and in silico studies.
Authors: 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
Keywords: Epitope prediction
Reverse vaccinology
Issue Date: 2017
Citation: 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: <>. Acesso em: 29 ago. 2017.
Abstract: 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.
ISSN: 16616596
metadata.dc.rights.license: O periódico International Journal of Molecular Sciences permite o arquivamento da versão PDF final do editor em repositórios institucionais. Fonte: Sherpa/Romeo <>. Acesso em: 01 ago. 2017.
Appears in Collections:DEACL - Artigos publicados em periódicos

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