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HLAB: learning the BiLSTM features from the ProtBert-encoded proteins for the class I HLA-peptide binding prediction.
Zhang, Yaqi; Zhu, Gancheng; Li, Kewei; Li, Fei; Huang, Lan; Duan, Meiyu; Zhou, Fengfeng.
Afiliação
  • Zhang Y; School of Biology & Engineering, Guizhou Medical University, Guiyang, Guizhou 550004, P.R. China.
  • Zhu G; College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin 130012, P.R. China.
  • Li K; College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin 130012, P.R. China.
  • Li F; College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin 130012, P.R. China.
  • Huang L; College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin 130012, P.R. China.
  • Duan M; College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin 130012, P.R. China.
  • Zhou F; College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin 130012, P.R. China.
Brief Bioinform ; 23(5)2022 09 20.
Article em En | MEDLINE | ID: mdl-35514183
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Peptídeos / Antígenos de Histocompatibilidade Classe I Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Peptídeos / Antígenos de Histocompatibilidade Classe I Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article