Contemplating immunopeptidomes to better predict them.

Gfeller, David; Liu, Yan; Racle, Julien

Gfeller, David; Liu, Yan; Racle, Julien.

Afiliação

Gfeller D; Department of Oncology, Ludwig Institute for Cancer Research Lausanne, University of Lausanne, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland; Swiss Cancer Center Leman (SCCL), 1011 Lausanne, Switzerland. Electronic address: david.gfeller@unil.ch.
Liu Y; Department of Oncology, Ludwig Institute for Cancer Research Lausanne, University of Lausanne, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland; Swiss Cancer Center Leman (SCCL), 1011 Lausanne, Switzerland.
Racle J; Department of Oncology, Ludwig Institute for Cancer Research Lausanne, University of Lausanne, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland; Swiss Cancer Center Leman (SCCL), 1011 Lausanne, Switzerland.

Semin Immunol ; 66: 101708, 2023 03.

Article em En | MEDLINE | ID: mdl-36621290

Assuntos

Epitopos de Linfócito T; Neoplasias; Humanos; Epitopos de Linfócito T/metabolismo; Ligantes; Apresentação de Antígeno; Peptídeos

Palavras-chave

Antigen presentation; Epitope predictions; Immunopeptidomics; Machine learning

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epitopos de Linfócito T / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Semin Immunol Assunto da revista: ALERGIA E IMUNOLOGIA Ano de publicação: 2023 Tipo de documento: Article

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