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Anthem: a user customised tool for fast and accurate prediction of binding between peptides and HLA class I molecules.
Mei, Shutao; Li, Fuyi; Xiang, Dongxu; Ayala, Rochelle; Faridi, Pouya; Webb, Geoffrey I; Illing, Patricia T; Rossjohn, Jamie; Akutsu, Tatsuya; Croft, Nathan P; Purcell, Anthony W; Song, Jiangning.
Afiliação
  • Mei S; Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Australia.
  • Li F; Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Australia.
  • Xiang D; Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Australia.
  • Ayala R; Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Australia.
  • Faridi P; Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Australia.
  • Webb GI; Information Technology at Monash University, Australia.
  • Illing PT; Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Australia.
  • Rossjohn J; Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Australia.
  • Akutsu T; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Japan.
  • Croft NP; Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Australia.
  • Purcell AW; Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Australia.
  • Song J; Monash Biomedicine Discovery Institute and Biochemistry and Molecular Biology, Monash University, Australia.
Brief Bioinform ; 22(5)2021 09 02.
Article em En | MEDLINE | ID: mdl-33454737
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Algoritmos / Software / Antígenos de Histocompatibilidade Classe I / Bases de Dados de Proteínas / 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: Austrália
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Algoritmos / Software / Antígenos de Histocompatibilidade Classe I / Bases de Dados de Proteínas / 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: Austrália