Learning a peptide-protein binding affinity predictor with kernel ridge regression

BMC Bioinformatics

Volumn 14, Issue , 2013, Pages

  Giguère, Sébastien ^a   Marchand, Mario ^a   Laviolette, François ^a   Drouin, Alexandre ^a   Corbeil, Jacques ^a  

^a UNIVERSITÉ LAVAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC PROGRAMMING ALGORITHM; KERNEL RIDGE REGRESSIONS; LINEAR-TIME ALGORITHMS; MAJOR HISTOCOMPATIBILITY COMPLEX CLASS; PHYSICO-CHEMICAL PROPERTIES OF AMINO ACIDS; PROTEIN-PROTEIN INTERACTIONS; QUANTITATIVE STRUCTURES; STATE-OF-THE-ART METHODS;

AMINO ACIDS; APPROXIMATION ALGORITHMS; BINDING ENERGY; BIOACTIVITY; CHEMICAL PROPERTIES; COMPUTATIONAL METHODS; DRUG INTERACTIONS; FORECASTING; MOLECULAR BIOLOGY; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; VACCINES;

PEPTIDES;

HLA ANTIGEN CLASS 2; PEPTIDE;

ALGORITHM; ALLELE; ARTICLE; ARTIFICIAL INTELLIGENCE; BINDING SITE; CHEMISTRY; COMPUTER SIMULATION; GENETICS; IMMUNOLOGY; METABOLISM; METHODOLOGY; PROTEIN ANALYSIS; PROTEIN DOMAIN;

ALGORITHMS; ALLELES; ARTIFICIAL INTELLIGENCE; BINDING SITES; COMPUTER SIMULATION; HISTOCOMPATIBILITY ANTIGENS CLASS II; PEPTIDES; PROTEIN INTERACTION DOMAINS AND MOTIFS; PROTEIN INTERACTION MAPPING;

EID: 84877639844     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-82     Document Type: Article

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