A minimal model of peptide binding predicts ensemble properties of serum antibodies

BMC Genomics

Volumn 13, Issue 1, 2012, Pages

  Greiff, Victor ^a   Redestig, Henning ^a,b,d   Lück, Juliane ^a   Bruni, Nicole ^a,c   Valai, Atijeh ^a   Hartmann, Susanne ^a   Rausch, Sebastian ^a   Schuchhardt, Johannes ^d   Or Guil, Michal ^a  

^a HUMBOLDT UNIVERSITY   (Germany)

^b Bayer Cropscience Belgium   (Belgium)

^c UNIVERSITY HOSPITAL BASEL   (Switzerland)

^d MICRODISCOVERY GMBH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBODY; IMMUNOGLOBULIN G ANTIBODY; MONOCLONAL ANTIBODY; BACTERIUM ANTIBODY; IMMUNOGLOBULIN G; PEPTIDE;

AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ANIMAL EXPERIMENT; ANIMAL MODEL; ANTIBODY BLOOD LEVEL; ANTIGEN BINDING; ARTICLE; CONTROLLED STUDY; HEPATITIS B; HUMAN; IMMUNE RESPONSE; MATHEMATICAL MODEL; MOUSE; MULTIPLE REGRESSION; NONHUMAN; PREDICTION; PROTEIN BINDING; PROTEIN MICROARRAY; ALGORITHM; ANIMAL; BAGG ALBINO MOUSE; BIOLOGICAL MODEL; BLOOD; CHEMISTRY; COMPUTER SIMULATION; EPITOPE MAPPING; HELIGMOSOMOIDES POLYGYRUS; IMMUNOLOGY; REGRESSION ANALYSIS; SENSITIVITY AND SPECIFICITY;

MUS;

ALGORITHMS; ANIMALS; ANTIBODIES; ANTIBODIES, BACTERIAL; ANTIBODIES, MONOCLONAL; COMPUTER SIMULATION; EPITOPE MAPPING; IMMUNOGLOBULIN G; MICE; MICE, INBRED BALB C; MODELS, IMMUNOLOGICAL; NEMATOSPIROIDES DUBIUS; PEPTIDES; PROTEIN BINDING; REGRESSION ANALYSIS; SENSITIVITY AND SPECIFICITY;

EID: 84857133287     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-13-79     Document Type: Article

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