Computational and experimental validation of B and T-cell epitopes of the in vivo immune response to a novel malarial antigen.
Vaccine development efforts will be guided by algorithms that predict immunogenic epitopes. Such prediction methods rely on classification-based algorithms that are trained against curated data sets of known B and T cell epitopes. It is unclear whether this empirical approach can be applied prospect...
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doaj-e099f9a816044d8492e2c49e162f591b2020-11-24T21:50:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0188e7161010.1371/journal.pone.0071610Computational and experimental validation of B and T-cell epitopes of the in vivo immune response to a novel malarial antigen.Elke S Bergmann-LeitnerSidhartha ChaudhuryNicholas J SteersMark SabatoVito DelvecchioAnders S WallqvistChristian F OckenhouseEvelina AngovVaccine development efforts will be guided by algorithms that predict immunogenic epitopes. Such prediction methods rely on classification-based algorithms that are trained against curated data sets of known B and T cell epitopes. It is unclear whether this empirical approach can be applied prospectively to predict epitopes associated with protective immunity for novel antigens. We present a comprehensive comparison of in silico B and T cell epitope predictions with in vivo validation using an previously uncharacterized malaria antigen, CelTOS. CelTOS has no known conserved structural elements with any known proteins, and thus is not represented in any epitope databases used to train prediction algorithms. This analysis represents a blind assessment of this approach in the context of a novel, immunologically relevant antigen. The limited accuracy of the tested algorithms to predict the in vivo immune responses emphasizes the need to improve their predictive capabilities for use as tools in vaccine design.http://europepmc.org/articles/PMC3745447?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elke S Bergmann-Leitner Sidhartha Chaudhury Nicholas J Steers Mark Sabato Vito Delvecchio Anders S Wallqvist Christian F Ockenhouse Evelina Angov |
spellingShingle |
Elke S Bergmann-Leitner Sidhartha Chaudhury Nicholas J Steers Mark Sabato Vito Delvecchio Anders S Wallqvist Christian F Ockenhouse Evelina Angov Computational and experimental validation of B and T-cell epitopes of the in vivo immune response to a novel malarial antigen. PLoS ONE |
author_facet |
Elke S Bergmann-Leitner Sidhartha Chaudhury Nicholas J Steers Mark Sabato Vito Delvecchio Anders S Wallqvist Christian F Ockenhouse Evelina Angov |
author_sort |
Elke S Bergmann-Leitner |
title |
Computational and experimental validation of B and T-cell epitopes of the in vivo immune response to a novel malarial antigen. |
title_short |
Computational and experimental validation of B and T-cell epitopes of the in vivo immune response to a novel malarial antigen. |
title_full |
Computational and experimental validation of B and T-cell epitopes of the in vivo immune response to a novel malarial antigen. |
title_fullStr |
Computational and experimental validation of B and T-cell epitopes of the in vivo immune response to a novel malarial antigen. |
title_full_unstemmed |
Computational and experimental validation of B and T-cell epitopes of the in vivo immune response to a novel malarial antigen. |
title_sort |
computational and experimental validation of b and t-cell epitopes of the in vivo immune response to a novel malarial antigen. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2013-01-01 |
description |
Vaccine development efforts will be guided by algorithms that predict immunogenic epitopes. Such prediction methods rely on classification-based algorithms that are trained against curated data sets of known B and T cell epitopes. It is unclear whether this empirical approach can be applied prospectively to predict epitopes associated with protective immunity for novel antigens. We present a comprehensive comparison of in silico B and T cell epitope predictions with in vivo validation using an previously uncharacterized malaria antigen, CelTOS. CelTOS has no known conserved structural elements with any known proteins, and thus is not represented in any epitope databases used to train prediction algorithms. This analysis represents a blind assessment of this approach in the context of a novel, immunologically relevant antigen. The limited accuracy of the tested algorithms to predict the in vivo immune responses emphasizes the need to improve their predictive capabilities for use as tools in vaccine design. |
url |
http://europepmc.org/articles/PMC3745447?pdf=render |
work_keys_str_mv |
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