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Improved methods for predicting peptide binding affinity to MHC class II molecules.
Jensen, Kamilla Kjaergaard; Andreatta, Massimo; Marcatili, Paolo; Buus, Søren; Greenbaum, Jason A; Yan, Zhen; Sette, Alessandro; Peters, Bjoern; Nielsen, Morten.
Afiliação
  • Jensen KK; Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark.
  • Andreatta M; Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina.
  • Marcatili P; Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark.
  • Buus S; Department of Immunology and Microbiology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Greenbaum JA; Bioinformatics Core Facility, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA.
  • Yan Z; Bioinformatics Core Facility, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA.
  • Sette A; Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA.
  • Peters B; Department of Medicine, University of California San Diego, La Jolla, CA, USA.
  • Nielsen M; Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA.
Immunology ; 154(3): 394-406, 2018 07.
Article em En | MEDLINE | ID: mdl-29315598
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oligopeptídeos / Antígenos de Histocompatibilidade Classe II / Mapeamento de Epitopos / Biologia Computacional / Epitopos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oligopeptídeos / Antígenos de Histocompatibilidade Classe II / Mapeamento de Epitopos / Biologia Computacional / Epitopos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article