MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides.
about
From functional genomics to functional immunomics: new challenges, old problems, big rewardsConservation and variability of dengue virus proteins: implications for vaccine designPREDBALB/c: a system for the prediction of peptide binding to H2d molecules, a haplotype of the BALB/c mouse.Major Histocompatibility Complex and Malaria: Focus on Plasmodium vivax InfectionMachine Learning Methods for Predicting HLA-Peptide Binding ActivityA systematic bioinformatics approach for selection of epitope-based vaccine targetsConservation and Variability of West Nile Virus ProteinsIdentification of Continuous Human B-Cell Epitopes in the Envelope Glycoprotein of Dengue Virus Type 3 (DENV-3)Matched Peptides: Tuning Matched Molecular Pair Analysis for Biopharmaceutical ApplicationsEvolutionarily conserved protein sequences of influenza a viruses, avian and human, as vaccine targetsMHC class II epitope predictive algorithms.Highly conserved cross-reactive CD4+ T-cell HA-epitopes of seasonal and the 2009 pandemic influenza viruses.A community resource benchmarking predictions of peptide binding to MHC-I molecules.SVRMHC prediction server for MHC-binding peptides.Human CD4+ T cell epitopes from vaccinia virus induced by vaccination or infectionHLA class I supertypes: a revised and updated classification.Quantitative peptide binding motifs for 19 human and mouse MHC class I molecules derived using positional scanning combinatorial peptide libraries.Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes.Evaluation of MHC class I peptide binding prediction servers: applications for vaccine researchA systematic assessment of MHC class II peptide binding predictions and evaluation of a consensus approachEvaluation of MHC-II peptide binding prediction servers: applications for vaccine research.The PickPocket method for predicting binding specificities for receptors based on receptor pocket similarities: application to MHC-peptide bindingPredicting MHC class I epitopes in large datasets.Optimization algorithms for functional deimmunization of therapeutic proteins.Identification of B cell epitopes of alcohol dehydrogenase allergen of Curvularia lunata.MetaMHC: a meta approach to predict peptides binding to MHC molecules.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.Predicting HLA class I non-permissive amino acid residues substitutions.Scrutinizing MHC-I binding peptides and their limits of variationEmerging vaccine informatics.NetMHCpan, a method for MHC class I binding prediction beyond humans.Identification of B cell epitopes reactive to human papillomavirus type-16L1- derived peptides.Specificity in molecular design: a physical framework for probing the determinants of binding specificity and promiscuity in a biological environment.Immunoinformatics and epitope prediction in the age of genomic medicine.Bioinformatics for study of autoimmunity.HLA-DR: molecular insights and vaccine design.Identification of T-cell epitopes for cancer immunotherapy.Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methodsNetMHCIIpan-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.
P2860
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P2860
MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides.
description
2005 nî lūn-bûn
@nan
2005 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հուլիսին 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
MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides
@nl
MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides.
@ast
MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides.
@en
type
label
MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides
@nl
MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides.
@ast
MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides.
@en
prefLabel
MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides
@nl
MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides.
@ast
MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides.
@en
P2093
P2860
P356
P1476
MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides.
@en
P2093
Asif M Khan
Guang Lan Zhang
J Thomas August
Kellathur N Srinivasan
P2860
P304
P356
10.1093/NAR/GKI452
P407
P433
Web Server issue
P577
2005-07-01T00:00:00Z