Prediction of epitopes using neural network based methods.
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Neoantigen-based cancer immunotherapyIncreased B and T Cell Responses in M. bovis Bacille Calmette-Guérin Vaccinated Pigs Co-Immunized with Plasmid DNA Encoding a Prototype Tuberculosis AntigenTumor neoantigens: building a framework for personalized cancer immunotherapyCombinatorial tetramer staining and mass cytometry analysis facilitate T-cell epitope mapping and characterization.Neo-antigens predicted by tumor genome meta-analysis correlate with increased patient survival.PSSMHCpan: a novel PSSM-based software for predicting class I peptide-HLA binding affinitySequence-Based Genotyping of Expressed Swine Leukocyte Antigen Class I Alleles by Next-Generation Sequencing Reveal Novel Swine Leukocyte Antigen Class I Haplotypes and Alleles in Belgian, Danish, and Kenyan Fattening Pigs and Göttingen Minipigs.Systematic identification of personal tumor-specific neoantigens in chronic lymphocytic leukemia.Bacteria modulate the CD8+ T cell epitope repertoire of host cytosol-exposed proteins to manipulate the host immune response.Identification of swine influenza virus epitopes and analysis of multiple specificities expressed by cytotoxic T cell subsetsClusters versus affinity-based approaches in F. tularensis whole genome search of CTL epitopes.Predictions versus high-throughput experiments in T-cell epitope discovery: competition or synergy?Sequence conservation analysis and in silico human leukocyte antigen-peptide binding predictions for the Mtb72F and M72 tuberculosis candidate vaccine antigens.Therapeutic Vaccine Strategies against Human Papillomavirus.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.A computational method for identification of vaccine targets from protein regions of conserved human leukocyte antigen bindingA computational method for designing diverse linear epitopes including citrullinated peptides with desired binding affinities to intravenous immunoglobulin.Virtual interactomics of proteins from biochemical standpoint.Immunoinformatics and epitope prediction in the age of genomic medicine.pVAC-Seq: A genome-guided in silico approach to identifying tumor neoantigens.Identification and translational validation of novel mammaglobin-A CD8 T cell epitopesCan we predict mutant neoepitopes in human cancers for patient-specific vaccine therapy?HLA-binding properties of tumor neoepitopes in humans.The neoepitope landscape in pediatric cancers.An immunogenic personal neoantigen vaccine for patients with melanoma.Current tools for predicting cancer-specific T cell immunity.Comparison of experimental fine-mapping to in silico prediction results of HIV-1 epitopes reveals ongoing need for mapping experiments.Neoepitopes as cancer immunotherapy targets: key challenges and opportunities.Antigen Discovery and Therapeutic Targeting in Hematologic Malignancies.The therapeutic promise of disrupting the PD-1/PD-L1 immune checkpoint in cancer: unleashing the CD8 T cell mediated anti-tumor activity results in significant, unprecedented clinical efficacy in various solid tumors.Analyzing the effect of peptide-HLA-binding ability on the immunogenicity of potential CD8+ and CD4+ T cell epitopes in a large dataset.Getting personal with neoantigen-based therapeutic cancer vaccines.In silico and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.High-order neural networks and kernel methods for peptide-MHC binding prediction.Rapid tumor regression in an Asian lung cancer patient following personalized neo-epitope peptide vaccination.In silico prediction of tumor antigens derived from functional missense mutations of the cancer gene census.BlockLogo: visualization of peptide and sequence motif conservation.Aminopeptidase substrate preference affects HIV epitope presentation and predicts immune escape patterns in HIV-infected individuals.MULTIPRED2: a computational system for large-scale identification of peptides predicted to bind to HLA supertypes and alleles.A clustering phenomenon among HCV-1a strains among patients coinfected with HIV from Buenos Aires, Argentina.
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Prediction of epitopes using neural network based methods.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 31 October 2010
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Prediction of epitopes using neural network based methods.
@en
Prediction of epitopes using neural network based methods.
@nl
type
label
Prediction of epitopes using neural network based methods.
@en
Prediction of epitopes using neural network based methods.
@nl
prefLabel
Prediction of epitopes using neural network based methods.
@en
Prediction of epitopes using neural network based methods.
@nl
P2860
P1476
Prediction of epitopes using neural network based methods.
@en
P2093
Claus Lundegaard
P2860
P356
10.1016/J.JIM.2010.10.011
P577
2010-10-31T00:00:00Z