IEPAPI: a method for immune epitope prediction by incorporating antigen presentation and immunogenicity.

Deng, Juntao; Zhou, Xiao; Zhang, Pengyan; Cheng, Weibin; Liu, Min; Tian, Junzhang

Deng, Juntao; Zhou, Xiao; Zhang, Pengyan; Cheng, Weibin; Liu, Min; Tian, Junzhang.

Deng J; Department of Automation, Tsinghua University, Beijing, 100084, China.
Zhou X; Department of Automation, Tsinghua University, Beijing, 100084, China.
Zhang P; Department of Automation, Tsinghua University, Beijing, 100084, China.
Cheng W; Guangdong Second Provincial General Hospital, Guangzhou 510317, China.
Liu M; Department of Automation, Tsinghua University, Beijing, 100084, China.
Tian J; Guangdong Second Provincial General Hospital, Guangzhou 510317, China.

Brief Bioinform ; 24(4)2023 07 20.

Article en En | MEDLINE | ID: mdl-37232386

Asunto(s)

Presentación de Antígeno; Neoplasias; Humanos; Epítopos; Antígenos de Histocompatibilidad Clase I; Receptores de Antígenos de Linfocitos T; Péptidos

Palabras clave

antigen presentation; cancer immunotherapy; deep learning; immunogenicity; neoantigen; transformer

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Presentación de Antígeno / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

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