T Cell Epitope Prediction and Its Application to Immunotherapy

Anna Lisa Schaap-Johansen; Milena Vujović; Annie Borch; Sine Reker Hadrup; Paolo Marcatili

doi:10.3389/fimmu.2021.712488

T Cell Epitope Prediction and Its Application to Immunotherapy

Anna Lisa Schaap-Johansen
, Milena Vujović
, Annie Borch
, Sine Reker Hadrup
, Paolo Marcatili^*

^*Corresponding author for this work

Research output: Contribution to journal › Review › peer-review

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Abstract

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.

Original language	English
Article number	712488
Journal	Frontiers in Immunology
Volume	12
Number of pages	11
ISSN	1664-3224
DOIs	https://doi.org/10.3389/fimmu.2021.712488
Publication status	Published - 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Epitope prediction
Neoantigens
Neoepitope prediction
T cell
T cell receptor
TCR

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10.3389/fimmu.2021.712488

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title = "T Cell Epitope Prediction and Its Application to Immunotherapy",

abstract = "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.",

keywords = "Epitope prediction, Neoantigens, Neoepitope prediction, T cell, T cell receptor, TCR",

author = "Schaap-Johansen, \{Anna Lisa\} and Milena Vujovi{\'c} and Annie Borch and Hadrup, \{Sine Reker\} and Paolo Marcatili",

note = "Publisher Copyright: {\textcopyright} Copyright {\textcopyright} 2021 Schaap-Johansen, Vujovi{\'c}, Borch, Hadrup and Marcatili.",

year = "2021",

doi = "10.3389/fimmu.2021.712488",

language = "English",

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journal = "Frontiers in Immunology",

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T1 - T Cell Epitope Prediction and Its Application to Immunotherapy

AU - Schaap-Johansen, Anna Lisa

AU - Vujović, Milena

AU - Borch, Annie

AU - Hadrup, Sine Reker

AU - Marcatili, Paolo

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Epitope prediction

KW - Neoantigens

KW - Neoepitope prediction

KW - T cell

KW - T cell receptor

KW - TCR

U2 - 10.3389/fimmu.2021.712488

DO - 10.3389/fimmu.2021.712488

M3 - Review

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AN - SCOPUS:85115947268

SN - 1664-3224

VL - 12

JO - Frontiers in Immunology

JF - Frontiers in Immunology

M1 - 712488

ER -

T Cell Epitope Prediction and Its Application to Immunotherapy

Abstract

UN SDGs

Keywords

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