Integrated modeling of the major events in the MHC class I antigen processing pathway.
about
A systematic bioinformatics approach for selection of epitope-based vaccine targetsImmunoNodes - graphical development of complex immunoinformatics workflowsUsing databases and data mining in vaccinology.EpiJen: a server for multistep T cell epitope prediction.Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction.A mathematical framework for the selection of an optimal set of peptides for epitope-based vaccines.FRED--a framework for T-cell epitope detection.Computational analysis and modeling of cleavage by the immunoproteasome and the constitutive proteasomeNetCTLpan: pan-specific MHC class I pathway epitope predictionsPOPISK: T-cell reactivity prediction using support vector machines and string kernels.TAP Hunter: a SVM-based system for predicting TAP ligands using local description of amino acid sequenceState of the art and challenges in sequence based T-cell epitope predictionCD8 T cell epitope distribution in viruses reveals patterns of protein biosynthesis.POPI: predicting immunogenicity of MHC class I binding peptides by mining informative physicochemical properties.PRED(TAP): a system for prediction of peptide binding to the human transporter associated with antigen processing.Accurate prediction of immunogenic T-cell epitopes from epitope sequences using the genetic algorithm-based ensemble learning.Identification of human leukemia antigen A*0201-restricted epitopes derived from epidermal growth factor pathway substrate number 8Immunoinformatics and epitope prediction in the age of genomic medicine.Toward a multiscale model of antigen presentation in immunity.Identification of T-cell epitopes for cancer immunotherapy.Immunoinformatics: an overview of computational tools and techniques for understanding immune function.Towards in silico design of epitope-based vaccines.Computational genomics tools for dissecting tumour-immune cell interactions.An Overview of Bioinformatics Tools and Resources in Allergy.Designing string-of-beads vaccines with optimal spacers.Designing immunogenic peptides.Modeling the adaptive immune system: predictions and simulations.Fundamentals and Methods for T- and B-Cell Epitope Prediction.Proteasomal cleavage site prediction of protein antigen using BP neural network based on a new set of amino acid descriptor.
P2860
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P2860
Integrated modeling of the major events in the MHC class I antigen processing pathway.
description
2005 nî lūn-bûn
@nan
2005 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Integrated modeling of the major events in the MHC class I antigen processing pathway.
@ast
Integrated modeling of the major events in the MHC class I antigen processing pathway.
@en
Integrated modeling of the major events in the MHC class I antigen processing pathway.
@nl
type
label
Integrated modeling of the major events in the MHC class I antigen processing pathway.
@ast
Integrated modeling of the major events in the MHC class I antigen processing pathway.
@en
Integrated modeling of the major events in the MHC class I antigen processing pathway.
@nl
prefLabel
Integrated modeling of the major events in the MHC class I antigen processing pathway.
@ast
Integrated modeling of the major events in the MHC class I antigen processing pathway.
@en
Integrated modeling of the major events in the MHC class I antigen processing pathway.
@nl
P2860
P356
P1433
P1476
Integrated modeling of the major events in the MHC class I antigen processing pathway.
@en
P2093
Pierre Dönnes
P2860
P304
P356
10.1110/PS.051352405
P577
2005-06-29T00:00:00Z