DLpTCR: an ensemble deep learning framework for predicting immunogenic peptide recognized by T cell receptor.

Xu, Zhaochun; Luo, Meng; Lin, Weizhong; Xue, Guangfu; Wang, Pingping; Jin, Xiyun; Xu, Chang; Zhou, Wenyang; Cai, Yideng; Yang, Wenyi; Nie, Huan; Jiang, Qinghua

Xu, Zhaochun; Luo, Meng; Lin, Weizhong; Xue, Guangfu; Wang, Pingping; Jin, Xiyun; Xu, Chang; Zhou, Wenyang; Cai, Yideng; Yang, Wenyi; Nie, Huan; Jiang, Qinghua.

Afiliação

Xu Z; Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Luo M; Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Lin W; Center for Bioinformatics, Computer Department, Jingdezhen Ceramic Institute, Jingdezhen 333403, China.
Xue G; Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Wang P; Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Jin X; Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Xu C; Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Zhou W; Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Cai Y; Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Yang W; Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Nie H; Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Jiang Q; Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.

Brief Bioinform ; 22(6)2021 11 05.

Article em En | MEDLINE | ID: mdl-34415016

Assuntos

Tratamento Farmacológico da COVID-19; Epitopos/imunologia; Peptídeos/imunologia; Receptores de Antígenos de Linfócitos T/imunologia; SARS-CoV-2/imunologia; Sequência de Aminoácidos/genética; COVID-19/genética; COVID-19/imunologia; COVID-19/virologia; Simulação por Computador; Aprendizado Profundo; Epitopos/genética; Humanos; Peptídeos/genética; Peptídeos/uso terapêutico; Ligação Proteica/genética; Receptores de Antígenos de Linfócitos T/genética; SARS-CoV-2/genética; SARS-CoV-2/patogenicidade; Software

Palavras-chave

T cell receptor; ensemble deep learning; peptide; peptide-TCR interaction

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Peptídeos / Receptores de Antígenos de Linfócitos T / SARS-CoV-2 / Tratamento Farmacológico da COVID-19 / Epitopos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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