Quantum chemical analysis of MHC-peptide interactions for vaccine design
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PREDIVAC: CD4+ T-cell epitope prediction for vaccine design that covers 95% of HLA class II DR protein diversity.Signal peptides and trans-membrane regions are broadly immunogenic and have high CD8+ T cell epitope densities: Implications for vaccine development.Quantum chemical calculations predict biological function: the case of T cell receptor interaction with a peptide/MHC class I.Atomic Coordination Reflects Peptide Immunogenicity.Relationship between HLA-DRB1 allele polymorphisms and familial aggregations of hepatocellular carcinomaThe Use of Reverse Vaccinology and Molecular Modeling Associated with Cell Proliferation Stimulation Approach to Select Promiscuous Epitopes from Schistosoma mansoni.Assessment of human leukocyte antigen immunogenicity: current methods, challenges and opportunities
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Quantum chemical analysis of MHC-peptide interactions for vaccine design
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
@pt
bilimsel makale
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scientific article published on July 2010
@en
vedecký článok
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vetenskaplig artikel
@sv
videnskabelig artikel
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vědecký článek
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name
Quantum chemical analysis of MHC-peptide interactions for vaccine design
@en
Quantum chemical analysis of MHC-peptide interactions for vaccine design.
@nl
type
label
Quantum chemical analysis of MHC-peptide interactions for vaccine design
@en
Quantum chemical analysis of MHC-peptide interactions for vaccine design.
@nl
prefLabel
Quantum chemical analysis of MHC-peptide interactions for vaccine design
@en
Quantum chemical analysis of MHC-peptide interactions for vaccine design.
@nl
P2860
P1476
Quantum chemical analysis of MHC-peptide interactions for vaccine design
@en
P2093
M E Patarroyo
W A Agudelo
P2860
P304
P356
10.2174/138955710791572488
P577
2010-07-01T00:00:00Z