Please use this identifier to cite or link to this item: http://www.arca.fiocruz.br/handle/icict/14037
Title: Prediction of CD8+ Epitopes in Leishmania braziliensis Proteins Using EPIBOT: In Silico Search and In Vivo Validation
Authors: Duarte, Ângelo
Queiroz, Artur Trancoso Lopo de
Tosta, Rafael
Carvalho, Augusto M
Barbosa, Carlos Henrique
Bellio, Maria
Oliveira, Camila Indiani de
Barral Netto, Manoel
Affilliation: Universidade Estadual de Feira de Santana. Departamento de Tecnologia. Feira de Santana, BA, Brasil
Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, Ba, Brasil
Universidade Estadual de Feira de Santana. Departamento de Tecnologia. Feira de Santana, BA, Brasil
Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, Ba, Brasil
Universidade Federal do Rio de Janeiro. Instituto de Microbiologia Paulo de Góes. Centro de Ciências da Saúde. Rio de Janeiro, RJ, Brasil
Universidade Federal do Rio de Janeiro. Instituto de Microbiologia Paulo de Góes. Centro de Ciências da Saúde. Rio de Janeiro, RJ, Brasil
Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, Ba, Brasil / Instituto de Investigação em Imunologia. São Paulo, SP, Brasil
Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, Ba, Brasil / Instituto de Investigação em Imunologia. São Paulo, SP, Brasil
Abstract: Leishmaniasis is caused by intracellular Leishmania parasites that induce a T-cell mediated response associated with recognition of CD4+ and CD8+ T cell Line 1Lineepitopes. Identification of CD8+ antigenic determinants is crucial for vaccine and therapy development. Herein, we developed an open-source software dedicated to search and compile data obtained from currently available on line prediction algorithms. Methodology/Principal Findings We developed a two-phase algorithm and implemented in an open source software called EPIBOT, that consolidates the results obtained with single prediction algorithms, generating a final output in which epitopes are ranked. EPIBOT was initially trained using a set of 831 known epitopes from 397 proteins from IEDB. We then screened 63 Leishmania braziliensis vaccine candidates with the EPIBOT trained tool to search for CD8+ T cell epitopes. A proof-of-concept experiment was conducted with the top eight CD8+ epitopes, elected by EPIBOT. To do this, the elected peptides were synthesized and validated for their in vivo cytotoxicity. Among the tested epitopes, three were able to induce lysis of pulsed-target cells. Conclusion Our results show that EPIBOT can successfully search across existing prediction tools, generating a compiled list of candidate CD8+ epitopes. This software is fast and a simple search engine that can be customized to search over different MHC alleles or HLA haplotypes.
keywords: Leishmaniose
Leishmania braziliensis
Vacina contra Leishmaniose
CD8
Epítopos
Validação social em pesquisa
Issue Date: 2015
Publisher: Public Library of Science
Citation: DUARTE. A. et al. Prediction of CD8+ Epitopes in Leishmania braziliensis Proteins Using EPIBOT: In Silico Search and In Vivo Validation. PLoS One, v. 10, p. 0124786, 2015.
ISSN: 1932-6203
Copyright: open access
Appears in Collections:IGM - Artigos de Periódicos

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