Journal article
T Cell Epitope Prediction and Its Application to Immunotherapy
Department of Health Technology, Technical University of Denmark1
Bioinformatics, Department of Health Technology, Technical University of Denmark2
AI for Immunological Molecules, Bioinformatics, Department of Health Technology, Technical University of Denmark3
Colloids & Biological Interfaces, Biotherapeutic Engineering and Drug Targeting, Department of Health Technology, Technical University of Denmark4
Biotherapeutic Engineering and Drug Targeting, Department of Health Technology, Technical University of Denmark5
Experimental & Translational Immunology, Department of Health Technology, Technical University of Denmark6
T-Cells and Cancer, Experimental & Translational Immunology, Department of Health Technology, Technical University of Denmark7
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.
| Language: | English |
|---|---|
| Publisher: | Frontiers Media S.A. |
| Year: | 2021 |
| Pages: | 712488 |
| ISSN: | 16643224 |
| Types: | Journal article |
| DOI: | 10.3389/fimmu.2021.712488 |
| ORCIDs: | Vujović, Milena , Borch, Annie , Hadrup, Sine Reker and Marcatili, Paolo |
Epitope prediction Neoantigens Neoepitope prediction SDG 3 - Good Health and Well-being T cell T cell receptor TCR
Antigen Presentation Antigens, Neoplasm Base Sequence Computational Biology Epitopes, T-Lymphocyte Histocompatibility Antigens Class I Humans Immunologic diseases. Allergy Immunotherapy Mass Spectrometry Models, Molecular Neoplasms Neural Networks, Computer Peptides RC581-607 Receptors, Antigen, T-Cell Sequence Analysis, DNA T-Cell Antigen Receptor Specificity epitope prediction neoantigens neoepitope prediction
