Author | Duarte, Ângelo | |
Author | Queiroz, Artur Trancoso Lopo de | |
Author | Tosta, Rafael | |
Author | Carvalho, Augusto M. | |
Author | Barbosa, Carlos Henrique | |
Author | Bellio, Maria | |
Author | Oliveira, Camila Indiani de | |
Author | Barral Netto, Manoel | |
Access date | 2016-05-04T16:53:37Z | |
Available date | 2016-05-04T16:53:37Z | |
Document date | 2015 | |
Citation | DUARTE, A. et al. Correction: Prediction of CD8+ Epitopes in Leishmania braziliensis Proteins Using EPIBOT: In Silico Search and In Vivo Validation. PLoS One, v. 10, n. 6, p. 1-10,, 2015. | pt_BR |
ISSN | 1932-6203 | |
URI | https://www.arca.fiocruz.br/handle/icict/14091 | |
Language | eng | pt_BR |
Publisher | Public Library of Science | pt_BR |
Rights | open access | pt_BR |
Subject in Portuguese | Leishmaniose | pt_BR |
Subject in Portuguese | Leishmania braziliensis | pt_BR |
Subject in Portuguese | Epitopos de celula T | pt_BR |
Subject in Portuguese | Celula T4 | pt_BR |
Subject in Portuguese | Celula T8 | pt_BR |
Subject in Portuguese | Vacinas | pt_BR |
Title | Correction: Prediction of CD8+ Epitopes in Leishmania braziliensis Proteins Using EPIBOT: In Silico Search and In Vivo Validation | pt_BR |
Type | Article | pt_BR |
Abstract | Background: 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. | pt_BR |
Affilliation | Universidade Estadual de Feira de Santana. Departamento de Tecnologia. Feira de Santana, BA, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, Brasil. | pt_BR |
Affilliation | Universidade Estadual de Feira de Santana. Departamento de Tecnologia. Feira de Santana, BA, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, Brasil. | pt_BR |
Affilliation | Universidade Federal do Rio de Janeiro. Instituto de Microbiologia Paulo de Góes. Centro de Ciências da Saúde. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Universidade Federal do Rio de Janeiro. Instituto de Microbiologia Paulo de Góes. Centro de Ciências da Saúde. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, Brasil / Instituto de Investigação em Imunologia. São Paulo, SP, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, Brasil / Instituto de Investigação em Imunologia. São Paulo, SP, Brasil. | pt_BR |