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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  
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T Cell Cross-Reactivity  
dc.subject.classification
Ciencias de la Computación  
dc.subject.classification
Ciencias de la Computación e Información  
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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