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Bioinformatics identification of antigenic peptide: predicting the specificity of major MHC class I and II pathway players.
Lund, Ole; Karosiene, Edita; Lundegaard, Claus; Larsen, Mette Voldby; Nielsen, Morten.
Afiliação
  • Lund O; Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark. lund@cbs.dtu.dk.
  • Karosiene E; Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Kongens Lyngby, Denmark.
  • Lundegaard C; Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark.
  • Larsen MV; Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Kongens Lyngby, Denmark.
  • Nielsen M; Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Kongens Lyngby, Denmark.
Methods Mol Biol ; 960: 247-260, 2013.
Article em En | MEDLINE | ID: mdl-23329492
Bioinformatics methods for immunology have become increasingly used over the last decade and now form an integrated part of most epitope discovery projects. This wide usage has led to the confusion of defining which of the many methods to use for what problems. In this chapter, an overview is given focusing on the suite of tools developed at the Technical University of Denmark.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fragmentos de Peptídeos / Antígenos de Histocompatibilidade Classe I / Antígenos de Histocompatibilidade Classe II / Biologia Computacional / Antígenos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fragmentos de Peptídeos / Antígenos de Histocompatibilidade Classe I / Antígenos de Histocompatibilidade Classe II / Biologia Computacional / Antígenos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2013 Tipo de documento: Article