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T Cell Epitope Prediction and Its Application to Immunotherapy.
Schaap-Johansen, Anna-Lisa; Vujovic, Milena; Borch, Annie; Hadrup, Sine Reker; Marcatili, Paolo.
Afiliación
  • Schaap-Johansen AL; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
  • Vujovic M; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
  • Borch A; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
  • Hadrup SR; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
  • Marcatili P; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
Front Immunol ; 12: 712488, 2021.
Article en En | MEDLINE | ID: mdl-34603286
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Epítopos de Linfocito T / Biología Computacional / Inmunoterapia / Antígenos de Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Front Immunol Año: 2021 Tipo del documento: Article País de afiliación: Dinamarca

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Epítopos de Linfocito T / Biología Computacional / Inmunoterapia / Antígenos de Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Front Immunol Año: 2021 Tipo del documento: Article País de afiliación: Dinamarca