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dc.contributor.author
Andreatta, Massimo
dc.contributor.author
Karosiene, Edita
dc.contributor.author
Rasmussen, Michael
dc.contributor.author
Stryhn, Anette
dc.contributor.author
Buus, Søren
dc.contributor.author
Nielsen, Morten
dc.date.available
2018-06-21T12:37:05Z
dc.date.issued
2015-09
dc.identifier.citation
Andreatta, Massimo; Karosiene, Edita; Rasmussen, Michael; Stryhn, Anette; Buus, Søren; et al.; Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification; Springer; Immunogenetics; 67; 11-12; 9-2015; 641-650
dc.identifier.issn
0093-7711
dc.identifier.uri
http://hdl.handle.net/11336/49500
dc.description.abstract
A key event in the generation of a cellular response against malicious organisms through the endocytic pathway is binding of peptidic antigens by major histocompatibility complex class II (MHC class II) molecules. The bound peptide is then presented on the cell surface where it can be recognized by T helper lymphocytes. NetMHCIIpan is a state-of-the-art method for the quantitative prediction of peptide binding to any human or mouse MHC class II molecule of known sequence. In this paper, we describe an updated version of the method with improved peptide binding register identification. Binding register prediction is concerned with determining the minimal core region of nine residues directly in contact with the MHC binding cleft, a crucial piece of information both for the identification and design of CD4+ T cell antigens. When applied to a set of 51 crystal structures of peptide-MHC complexes with known binding registers, the new method NetMHCIIpan-3.1 significantly outperformed the earlier 3.0 version. We illustrate the impact of accurate binding core identification for the interpretation of T cell cross-reactivity using tetramer double staining with a CMV epitope and its variants mapped to the epitope binding core. NetMHCIIpan is publicly available at http://www.cbs.dtu.dk/services/NetMHCIIpan-3.1.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Artificial Neural Networks
dc.subject
Binding Core
dc.subject
Mhc Class Ii
dc.subject
Peptide Binding
dc.subject
Peptide-Mhc
dc.subject
T Cell Cross-Reactivity
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.subject.classification
Otras Ciencias Biológicas
dc.subject.classification
Ciencias Biológicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-06-19T16:53:49Z
dc.journal.volume
67
dc.journal.number
11-12
dc.journal.pagination
641-650
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Nueva York
dc.description.fil
Fil: Andreatta, Massimo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas (subsede Chascomús) | Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas (subsede Chascomús); Argentina
dc.description.fil
Fil: Karosiene, Edita. La Jolla Institute for Allergy and Immunology; Estados Unidos
dc.description.fil
Fil: Rasmussen, Michael. Universidad de Copenhagen; Dinamarca
dc.description.fil
Fil: Stryhn, Anette. Universidad de Copenhagen; Dinamarca
dc.description.fil
Fil: Buus, Søren. Universidad de Copenhagen; Dinamarca
dc.description.fil
Fil: Nielsen, Morten. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas (subsede Chascomús) | Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas (subsede Chascomús); Argentina. Technical University of Denmark; Dinamarca
dc.journal.title
Immunogenetics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1007/s00251-015-0873-y
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs00251-015-0873-y
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