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Ebolavirus comparative genomicsAmino Acid Similarity Accounts for T Cell Cross-Reactivity and for “Holes” in the T Cell RepertoireReliable prediction of T-cell epitopes using neural networks with novel sequence representationsNetMHCpan, a method for quantitative predictions of peptide binding to any HLA-A and -B locus protein of known sequenceHLA class I binding 9mer peptides from influenza A virus induce CD4 T cell responsesImmunogenicity of HLA Class I and II Double Restricted Influenza A-Derived PeptidesNNAlign: a web-based prediction method allowing non-expert end-user discovery of sequence motifs in quantitative peptide dataNNAlign: a platform to construct and evaluate artificial neural network models of receptor-ligand interactions.Simultaneous alignment and clustering of peptide data using a Gibbs sampling approach.Correction for phylogeny, small number of observations and data redundancy improves the identification of coevolving amino acid pairs using mutual information.MHC class II epitope predictive algorithms.Structural analysis of B-cell epitopes in antibody:protein complexesThe peptide-binding specificity of HLA-A*3001 demonstrates membership of the HLA-A3 supertype.Selecting informative data for developing peptide-MHC binding predictors using a query by committee approach.MetaPhinder-Identifying Bacteriophage Sequences in Metagenomic Data SetsImproved pan-specific prediction of MHC class I peptide binding using a novel receptor clustering data partitioning strategy.MHC-I Ligand Discovery Using Targeted Database Searches of Mass Spectrometry Data: Implications for T-Cell Immunotherapies.Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment methodLarge-scale validation of methods for cytotoxic T-lymphocyte epitope prediction.Quantitative predictions of peptide binding to any HLA-DR molecule of known sequence: NetMHCIIpan.The PickPocket method for predicting binding specificities for receptors based on receptor pocket similarities: application to MHC-peptide bindingA generic method for assignment of reliability scores applied to solvent accessibility predictions.NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding predictionSystematic characterisation of cellular localisation and expression profiles of proteins containing MHC ligands.Limitations of Ab initio predictions of peptide binding to MHC class II moleculesUse of "one-pot, mix-and-read" peptide-MHC class I tetramers and predictive algorithms to improve detection of cytotoxic T lymphocyte responses in cattle.Identification of CD8+ T cell epitopes in the West Nile virus polyprotein by reverse-immunology using NetCTL.In silico prediction of human pathogenicity in the γ-proteobacteria.Networks of high mutual information define the structural proximity of catalytic sites: implications for catalytic residue identification.Peptide binding predictions for HLA DR, DP and DQ moleculesStructural properties of MHC class II ligands, implications for the prediction of MHC class II epitopes.NetCTLpan: pan-specific MHC class I pathway epitope predictionsDataset size and composition impact the reliability of performance benchmarks for peptide-MHC binding predictionsPorcine major histocompatibility complex (MHC) class I molecules and analysis of their peptide-binding specificitiesMR1-restricted MAIT cells display ligand discrimination and pathogen selectivity through distinct T cell receptor usageHuman leukocyte antigen (HLA) class I restricted epitope discovery in yellow fewer and dengue viruses: importance of HLA binding strengthCharacterization of HIV-specific CD4+ T cell responses against peptides selected with broad population and pathogen coverage.Disentangling evolutionary signals: conservation, specificity determining positions and coevolution. Implication for catalytic residue predictionIdentification of peptides from foot-and-mouth disease virus structural proteins bound by class I swine leukocyte antigen (SLA) alleles, SLA-1*0401 and SLA-2*0401.Characterization of binding specificities of bovine leucocyte class I molecules: impacts for rational epitope discovery.
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description
hulumtues
@sq
researcher
@en
հետազոտող
@hy
name
Morten Nielsen
@ast
Morten Nielsen
@en
Morten Nielsen
@es
Morten Nielsen
@nl
Morten Nielsen
@sl
type
label
Morten Nielsen
@ast
Morten Nielsen
@en
Morten Nielsen
@es
Morten Nielsen
@nl
Morten Nielsen
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prefLabel
Morten Nielsen
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Morten Nielsen
@en
Morten Nielsen
@es
Morten Nielsen
@nl
Morten Nielsen
@sl
P1053
E-7754-2011
P106
P21
P2456
P2798
P31
P3829
P496
0000-0001-7885-4311