T Cell Epitope Prediction and Its Application to Immunotherapy

T cells play a crucial role in controlling and driving the immune response with their ability to discriminate peptides derived from healthy as well as pathogenic proteins. In this review, we focus on the currently available computational tools for epitope prediction, with a particular focus on tools...

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Autores principales: Schaap-Johansen, Anna-Lisa, Vujović, Milena, Borch, Annie, Hadrup, Sine Reker, Marcatili, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479193/
https://www.ncbi.nlm.nih.gov/pubmed/34603286
http://dx.doi.org/10.3389/fimmu.2021.712488
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author Schaap-Johansen, Anna-Lisa
Vujović, Milena
Borch, Annie
Hadrup, Sine Reker
Marcatili, Paolo
author_facet Schaap-Johansen, Anna-Lisa
Vujović, Milena
Borch, Annie
Hadrup, Sine Reker
Marcatili, Paolo
author_sort Schaap-Johansen, Anna-Lisa
collection PubMed
description T cells play a crucial role in controlling and driving the immune response with their ability to discriminate peptides derived from healthy as well as pathogenic proteins. In this review, we focus on the currently available computational tools for epitope prediction, with a particular focus on tools aimed at identifying neoepitopes, i.e. cancer-specific peptides and their potential for use in immunotherapy for cancer treatment. This review will cover how these tools work, what kind of data they use, as well as pros and cons in their respective applications.
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spelling pubmed-84791932021-09-30 T Cell Epitope Prediction and Its Application to Immunotherapy Schaap-Johansen, Anna-Lisa Vujović, Milena Borch, Annie Hadrup, Sine Reker Marcatili, Paolo Front Immunol Immunology T cells play a crucial role in controlling and driving the immune response with their ability to discriminate peptides derived from healthy as well as pathogenic proteins. In this review, we focus on the currently available computational tools for epitope prediction, with a particular focus on tools aimed at identifying neoepitopes, i.e. cancer-specific peptides and their potential for use in immunotherapy for cancer treatment. This review will cover how these tools work, what kind of data they use, as well as pros and cons in their respective applications. Frontiers Media S.A. 2021-09-15 /pmc/articles/PMC8479193/ /pubmed/34603286 http://dx.doi.org/10.3389/fimmu.2021.712488 Text en Copyright © 2021 Schaap-Johansen, Vujović, Borch, Hadrup and Marcatili https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Schaap-Johansen, Anna-Lisa
Vujović, Milena
Borch, Annie
Hadrup, Sine Reker
Marcatili, Paolo
T Cell Epitope Prediction and Its Application to Immunotherapy
title T Cell Epitope Prediction and Its Application to Immunotherapy
title_full T Cell Epitope Prediction and Its Application to Immunotherapy
title_fullStr T Cell Epitope Prediction and Its Application to Immunotherapy
title_full_unstemmed T Cell Epitope Prediction and Its Application to Immunotherapy
title_short T Cell Epitope Prediction and Its Application to Immunotherapy
title_sort t cell epitope prediction and its application to immunotherapy
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479193/
https://www.ncbi.nlm.nih.gov/pubmed/34603286
http://dx.doi.org/10.3389/fimmu.2021.712488
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