Registro completo de metadatos
| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.creator | Jurtz, Vanessa | - |
| dc.creator | Paul, Sinu | - |
| dc.creator | Andreatta, Massimo | - |
| dc.creator | Marcatili, Paolo | - |
| dc.creator | Peters, Bjoern | - |
| dc.creator | Nielsen, Morten | - |
| dc.date | 2018-06-14T14:48:34Z | - |
| dc.date | 2018-06-14T14:48:34Z | - |
| dc.date | 2017-11 | - |
| dc.date | 2018-06-13T14:57:10Z | - |
| dc.date.accessioned | 2019-04-29T15:41:49Z | - |
| dc.date.available | 2019-04-29T15:41:49Z | - |
| dc.date.issued | 2017-11 | - |
| dc.identifier | Jurtz, Vanessa; Paul, Sinu; Andreatta, Massimo; Marcatili, Paolo; Peters, Bjoern; et al.; Netmhcpan-4.0: Improved peptide-MHC class I interaction predictions integrating eluted ligand and peptide binding affinity data; American Association of Immunologists; Journal of Immunology; 199; 9; 11-2017; 3360-3368 | - |
| dc.identifier | 0022-1767 | - |
| dc.identifier | http://hdl.handle.net/11336/48622 | - |
| dc.identifier | CONICET Digital | - |
| dc.identifier | CONICET | - |
| dc.identifier.uri | http://rodna.bn.gov.ar:8080/jspui/handle/bnmm/299792 | - |
| dc.description | Cytotoxic T cells are of central importance in the immune system's response to disease. They recognize defective cells by binding to peptides presented on the cell surface by MHC class I molecules. Peptide binding to MHC molecules is the single most selective step in the Ag-presentation pathway. Therefore, in the quest for T cell epitopes, the prediction of peptide binding to MHC molecules has attracted widespread attention. In the past, predictors of peptide-MHC interactions have primarily been trained on binding affinity data. Recently, an increasing number of MHC-presented peptides identified by mass spectrometry have been reported containing information about peptide-processing steps in the presentation pathway and the length distribution of naturally presented peptides. In this article, we present NetMHCpan-4.0, a method trained on binding affinity and eluted ligand data leveraging the information from both data types. Large-scale benchmarking of the method demonstrates an increase in predictive performance compared with state-of-the-art methods when it comes to identification of naturally processed ligands, cancer neoantigens, and T cell epitopes. | - |
| dc.description | Fil: Jurtz, Vanessa. Technical University of Denmark; Dinamarca | - |
| dc.description | Fil: Paul, Sinu. La Jolla Institute for Allergy and Immunology; Estados Unidos | - |
| dc.description | Fil: Andreatta, Massimo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; Argentina | - |
| dc.description | Fil: Marcatili, Paolo. Technical University of Denmark; Dinamarca | - |
| dc.description | Fil: Peters, Bjoern. La Jolla Institute for Allergy and Immunology; Estados Unidos | - |
| dc.description | Fil: Nielsen, Morten. Technical University of Denmark; Dinamarca. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; Argentina | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.publisher | American Association of Immunologists | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.4049/jimmunol.1700893 | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/url/http://www.jimmunol.org/content/199/9/3360 | - |
| dc.rights | info:eu-repo/semantics/restrictedAccess | - |
| dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | - |
| dc.source | reponame:CONICET Digital (CONICET) | - |
| dc.source | instname:Consejo Nacional de Investigaciones Científicas y Técnicas | - |
| dc.source | instacron:CONICET | - |
| dc.subject | MHC | - |
| dc.subject | ligands | - |
| dc.subject | epitopes | - |
| dc.subject | machine learning | - |
| dc.subject | Otras Ciencias Biológicas | - |
| dc.subject | Ciencias Biológicas | - |
| dc.subject | CIENCIAS NATURALES Y EXACTAS | - |
| dc.title | Netmhcpan-4.0: Improved peptide-MHC class I interaction predictions integrating eluted ligand and peptide binding affinity data | - |
| dc.type | info:eu-repo/semantics/article | - |
| dc.type | info:eu-repo/semantics/publishedVersion | - |
| dc.type | info:ar-repo/semantics/articulo | - |
| Aparece en las colecciones: | CONICET | |
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