PREDIVAC: CD4+ T-cell epitope prediction for vaccine design that covers 95% of HLA class II DR protein diversity

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Oyarzún, Patricio ^a,b   Ellis, Jonathan J ^a   Bodén, Mikael ^a   Kobe, Boštjan ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b UNIVERSIDAD SAN SEBASTIÁN   (Chile)

Author keywords

CD4+ T cell epitope prediction; Epitope based vaccination; Immunodominance; MHC (HLA) class II polymorphism; MHC (HLA) class II proteins; Pan specific; Peptide binding prediction; Peptide vaccination, Specificity determining residues

Indexed keywords

CLASS II; EPITOPE-BASED VACCINATION; IMMUNODOMINANCE; PAN-SPECIFIC; PEPTIDE BINDING; T-CELL EPITOPES;

DESIGN; EPITOPES; FORECASTING; IMMUNE SYSTEM; PEPTIDES; VACCINES;

T-CELLS;

EPITOPE; HLA DR ANTIGEN; PEPTIDE; VACCINE;

ALLELE; ARTICLE; CD4+ T LYMPHOCYTE; CHEMISTRY; COMPUTER PROGRAM; GENETICS; HUMAN; IMMUNOLOGY; METABOLISM;

ALLELES; CD4-POSITIVE T-LYMPHOCYTES; EPITOPES, T-LYMPHOCYTE; HLA-DR ANTIGENS; HUMANS; IMMUNODOMINANT EPITOPES; PEPTIDES; SOFTWARE; VACCINES;

EID: 84873599312     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-52     Document Type: Article

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