Cargando…
NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8–11
NetMHC-3.0 is trained on a large number of quantitative peptide data using both affinity data from the Immune Epitope Database and Analysis Resource (IEDB) and elution data from SYFPEITHI. The method generates high-accuracy predictions of major histocompatibility complex (MHC): peptide binding. The...
Autores principales: | Lundegaard, Claus, Lamberth, Kasper, Harndahl, Mikkel, Buus, Søren, Lund, Ole, Nielsen, Morten |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447772/ https://www.ncbi.nlm.nih.gov/pubmed/18463140 http://dx.doi.org/10.1093/nar/gkn202 |
Ejemplares similares
-
Porcine major histocompatibility complex (MHC) class I molecules and analysis of their peptide-binding specificities
por: Pedersen, Lasse Eggers, et al.
Publicado: (2011) -
A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules
por: Peters, Bjoern, et al.
Publicado: (2006) -
Functional recombinant MHC class II molecules and high-throughput peptide-binding assays
por: Justesen, Sune, et al.
Publicado: (2009) -
NetMHCpan, a Method for Quantitative Predictions of Peptide Binding to Any HLA-A and -B Locus Protein of Known Sequence
por: Nielsen, Morten, et al.
Publicado: (2007) -
Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method
por: Nielsen, Morten, et al.
Publicado: (2007)