2017
DOI: 10.3390/ijms18020371
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Immunoinformatics Features Linked to Leishmania Vaccine Development: Data Integration of Experimental and In Silico Studies

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… Show more

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Cited by 23 publications
(22 citation statements)
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“…Epitope mapping in proteomes of parasites is much more complex than the mapping of epitopes in proteins already described as immunogenic [21,22]. In this way, the use of the integrative approach to immunoinformatics proposed by Brito, Guimaraes, Velloso, Correa-Oliveira, Ruiz, Reis and Resende [7] was important to achieve potential epitopes in this study. After employing the immunoinformatics methodologies, we identified MHC class I and class II ligand epitopes comprising mouse and human alleles, due to the absence of predictors comprising dog alleles.…”
Section: Discussionmentioning
confidence: 96%
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“…Epitope mapping in proteomes of parasites is much more complex than the mapping of epitopes in proteins already described as immunogenic [21,22]. In this way, the use of the integrative approach to immunoinformatics proposed by Brito, Guimaraes, Velloso, Correa-Oliveira, Ruiz, Reis and Resende [7] was important to achieve potential epitopes in this study. After employing the immunoinformatics methodologies, we identified MHC class I and class II ligand epitopes comprising mouse and human alleles, due to the absence of predictors comprising dog alleles.…”
Section: Discussionmentioning
confidence: 96%
“…(1) Selection of linear epitopes for T-cells based on a pipeline described by Brito et al (2017) [7]: This pipeline was used to map the whole L. infantum predicted proteome, comprising the selection of potential proteins that have a consensus of predicted binding epitopes to major histocompatibility complex (MHC) class I and II, B cell epitopes, and specific subcellular locations. Thus, from the results of different immunoinformatics approaches employed, we constructed a relational database integrating the data of the L. infantum predicted proteome.…”
Section: Methodsmentioning
confidence: 99%
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“…Currently, it is possible to scan entire genomes searching for candidates and to select them to be tested as vaccines [ 44 ], and with the advent of reverse vaccinology, a significant effort has been made to provide predictor programs of new molecules with distinct biotechnological applications [ 45 , 46 ]. However, the bottleneck in this workflow analysis is the validation of predictions for protozoan parasites [ 47 , 48 , 49 ].…”
Section: Discussionmentioning
confidence: 99%
“…Various studies have since been performed using peptide epitope predictions in previously known immunogenic proteins. These algorithms have become more powerful in predicting epitopes, and they can be combined to increase the accuracy for large-scale peptide epitope predictions in Leishmania proteomes ( 57 , 58 ). Thus, today it is possible to perform high-throughput screening in whole Leishmania proteomes and identify peptides that elicit protective immune responses in vitro as well as in vivo ( 43 , 53 ).…”
Section: Leishmanial Peptide-based Vaccinesmentioning
confidence: 99%