A systematic bioinformatics approach for selection of epitope-based vaccine targets

Cellular Immunology

Volumn 244, Issue 2, 2006, Pages 141-147

  Khan, Asif M ^a   Miotto, Olivo ^a,b   Heiny, A T ^a   Salmon, Jerome ^c   Srinivasan, K N ^c,d   Nascimento, Eduardo J M ^c   Marques Jr , Ernesto T A ^c,e   Brusic, Vladimir ^a,f   Tan, Tin Wee ^a   August, J Thomas ^c  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d HEALTH SCIENCES AUTHORITY   (Singapore)

^e Aggeu Magalhaes Research Center   (Brazil)

^f UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Altered ligand effect; Bioinformatics; Conserved sequences; Epitope based vaccines; Immune system; Immunological hotspots; Information entropy; Pathogens; Supertypes; T cell epitopes

Indexed keywords

EPITOPE; LEUKOCYTE ANTIGEN; VACCINE;

ALGORITHM; ARTICLE; BIOINFORMATICS; DENGUE VIRUS; GENETIC VARIABILITY; HLA SYSTEM; MATHEMATICAL COMPUTING; METHODOLOGY; NONHUMAN; PATHOGENESIS; PRIORITY JOURNAL; T LYMPHOCYTE; TRANSGENIC MOUSE;

AMINO ACID SEQUENCE; ANIMALS; COMPUTATIONAL BIOLOGY; CONSERVED SEQUENCE; DENGUE; DENGUE VIRUS; EPITOPES, T-LYMPHOCYTE; HLA ANTIGENS; HUMANS; INTERFERON TYPE II; MICE; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; SEQUENCE ALIGNMENT; VIRAL NONSTRUCTURAL PROTEINS; VIRAL VACCINES;

DENGUE VIRUS; MUS MUSCULUS;

EID: 34248397523     PISSN: 00088749     EISSN: 10902163     Source Type: Journal    
DOI: 10.1016/j.cellimm.2007.02.005     Document Type: Article

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