Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methods
about
Bioinformatics for cancer immunology and immunotherapyHLA class I molecular variation and peptide-binding properties suggest a model of joint divergent asymmetric selection.TEPITOPEpan: extending TEPITOPE for peptide binding prediction covering over 700 HLA-DR moleculesMass Spectrometry of Human Leukocyte Antigen Class I Peptidomes Reveals Strong Effects of Protein Abundance and Turnover on Antigen PresentationThe PickPocket method for predicting binding specificities for receptors based on receptor pocket similarities: application to MHC-peptide bindingHLA-associated immune escape pathways in HIV-1 subtype B Gag, Pol and Nef proteins.NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding predictionIntegrating in silico and in vitro analysis of peptide binding affinity to HLA-Cw*0102: a bioinformatic approach to the prediction of new epitopesPredicting MHC class I epitopes in large datasets.Design and utilization of epitope-based databases and predictive toolsA regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain-peptide interaction from primary sequence.NetCTLpan: pan-specific MHC class I pathway epitope predictionsDataset size and composition impact the reliability of performance benchmarks for peptide-MHC binding predictionsEstimating the fitness cost of escape from HLA presentation in HIV-1 protease and reverse transcriptase.State of the art and challenges in sequence based T-cell epitope predictionNetMHCIIpan-2.0 - Improved pan-specific HLA-DR predictions using a novel concurrent alignment and weight optimization training procedure.The cancer exome generated by alternative mRNA splicing dilutes predicted HLA class I epitope density.In silico Derivation of HLA-Specific Alloreactivity Potential from Whole Exome Sequencing of Stem-Cell Transplant Donors and Recipients: Understanding the Quantitative Immunobiology of Allogeneic TransplantationLarge-scale characterization of peptide-MHC binding landscapes with structural simulations.Equivalent T cell epitope promiscuity in ecologically diverse human pathogens.HLA class I allele promiscuity revisited.Automated benchmarking of peptide-MHC class I binding predictions.Predictions versus high-throughput experiments in T-cell epitope discovery: competition or synergy?A combined prediction strategy increases identification of peptides bound with high affinity and stability to porcine MHC class I molecules SLA-1*04:01, SLA-2*04:01, and SLA-3*04:01.Immunoinformatics and epitope prediction in the age of genomic medicine.pVAC-Seq: A genome-guided in silico approach to identifying tumor neoantigens.NetMHCIIpan-3.0, a common pan-specific MHC class II prediction method including all three human MHC class II isotypes, HLA-DR, HLA-DP and HLA-DQ.Identification of immunotherapeutic targets by genomic profiling of rectal NET metastases.Improved pan-specific MHC class I peptide-binding predictions using a novel representation of the MHC-binding cleft environment.Expanding the detectable HLA peptide repertoire using electron-transfer/higher-energy collision dissociation (EThcD).Major histocompatibility complex class I binding predictions as a tool in epitope discovery.Prediction of epitopes using neural network based methods.Toward more accurate pan-specific MHC-peptide binding prediction: a review of current methods and tools.Towards in silico design of epitope-based vaccines.HIV-1 adaptation to NK cell-mediated immune pressure.Computational Resources for MHC Ligand Identification.Prediction of peptide binding to a major histocompatibility complex class I molecule based on docking simulation.BOLA-DRB3 gene polymorphisms influence bovine leukaemia virus infection levels in Holstein and Holstein × Jersey crossbreed dairy cattle.High-order neural networks and kernel methods for peptide-MHC binding prediction.MHC motif viewer.
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P2860
Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methods
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh
2008年學術文章
@zh-hant
name
Pan-specific MHC class I predi ...... an-specific prediction methods
@en
Pan-specific MHC class I predi ...... n-specific prediction methods.
@nl
type
label
Pan-specific MHC class I predi ...... an-specific prediction methods
@en
Pan-specific MHC class I predi ...... n-specific prediction methods.
@nl
prefLabel
Pan-specific MHC class I predi ...... an-specific prediction methods
@en
Pan-specific MHC class I predi ...... n-specific prediction methods.
@nl
P2860
P356
P1433
P1476
Pan-specific MHC class I predi ...... an-specific prediction methods
@en
P2093
Claus Lundegaard
P2860
P356
10.1093/BIOINFORMATICS/BTN579
P407
P577
2008-11-07T00:00:00Z