MULTIPRED2: a computational system for large-scale identification of peptides predicted to bind to HLA supertypes and alleles.
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Machine Learning Methods for Predicting HLA-Peptide Binding Activityαβ TCR-mediated recognition: relevance to tumor-antigen discovery and cancer immunotherapyForward Vaccinology: CTL Targeting Based upon Physical Detection of HLA-Bound PeptidesCirculating Memory CD4+ T Cells Target Conserved Epitopes of Rhinovirus Capsid Proteins and Respond Rapidly to Experimental Infection in Humans.Antigenic Determinants of the Bilobal Cockroach Allergen Bla g 2.Designing of interferon-gamma inducing MHC class-II binders.Physical detection of influenza A epitopes identifies a stealth subset on human lung epithelium evading natural CD8 immunityEfficacy of HLA-DRB1∗03:01 and H2E transgenic mouse strains to correlate pathogenic thyroglobulin epitopes for autoimmune thyroiditis.Conservation analysis of dengue virus T-cell epitope-based vaccine candidates using Peptide block entropy.Direct identification of an HPV-16 tumor antigen from cervical cancer biopsy specimensA Novel Peptide Binding Prediction Approach for HLA-DR Molecule Based on Sequence and Structural InformationRecombinant and epitope-based vaccines on the road to the market and implications for vaccine design and productionAn effective and effecient peptide binding prediction approach for a broad set of HLA-DR molecules based on ordered weighted averaging of binding pocket profiles.Computer-aided design of T-cell epitope-based vaccines: addressing population coverage.Comparison of experimental fine-mapping to in silico prediction results of HIV-1 epitopes reveals ongoing need for mapping experiments.Dana-Farber repository for machine learning in immunology.Molecular T cell biology -- basic and translational challenges in the twenty-first centuryRelaxation estimation of RMSD in molecular dynamics immunosimulationsMapping HLA-A2, -A3 and -B7 supertype-restricted T-cell epitopes in the ebolavirus proteome.Analysis of viral diversity for vaccine target discovery.Fundamentals and Methods for T- and B-Cell Epitope Prediction.Predicted MHC peptide binding promiscuity explains MHC class I 'hotspots' of antigen presentation defined by mass spectrometry eluted ligand data.Prediction of Antimicrobial Potential of a Chemically Modified Peptide From Its Tertiary Structure
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P2860
MULTIPRED2: a computational system for large-scale identification of peptides predicted to bind to HLA supertypes and alleles.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
MULTIPRED2: a computational sy ...... to HLA supertypes and alleles.
@en
MULTIPRED2: a computational sy ...... to HLA supertypes and alleles.
@nl
type
label
MULTIPRED2: a computational sy ...... to HLA supertypes and alleles.
@en
MULTIPRED2: a computational sy ...... to HLA supertypes and alleles.
@nl
prefLabel
MULTIPRED2: a computational sy ...... to HLA supertypes and alleles.
@en
MULTIPRED2: a computational sy ...... to HLA supertypes and alleles.
@nl
P2093
P2860
P1476
MULTIPRED2: a computational sy ...... to HLA supertypes and alleles.
@en
P2093
David S DeLuca
Derin B Keskin
Ellis L Reinherz
Guang Lan Zhang
Lou Chitkushev
Tanya Zlateva
P2860
P356
10.1016/J.JIM.2010.11.009
P577
2010-12-02T00:00:00Z