Robust quantitative modeling of peptide binding affinities for MHC molecules using physical-chemical descriptors

Protein and Peptide Letters

Volumn 14, Issue 9, 2007, Pages 903-916

  Ivanciuc, Ovidiu ^a   Braun, Werner ^a  

^a University of Texas Medical Branch School of Medicine   (United States)

Author keywords

Amino acid descriptors; Major histocompatibility complex; Peptide binding affinity; Quantitative structure activity relationships

Indexed keywords

ANTIGEN; HISTOCOMPATIBILITY ANTIGEN; MHC BINDING PEPTIDE; OLIGOPEPTIDE; UNCLASSIFIED DRUG;

AMINO ACID SEQUENCE; ANTIGEN PRESENTATION; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; IMMUNOLOGY; MATHEMATICS; METABOLISM; MOLECULAR GENETICS; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REGRESSION ANALYSIS; STATISTICAL MODEL;

AMINO ACID SEQUENCE; ANTIGEN PRESENTATION; ANTIGENS; CALIBRATION; HISTOCOMPATIBILITY ANTIGENS; LEAST-SQUARES ANALYSIS; LINEAR MODELS; MATHEMATICS; MODELS, CHEMICAL; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; NEURAL NETWORKS (COMPUTER); OLIGOPEPTIDES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 35548980401     PISSN: 09298665     EISSN: None     Source Type: Journal    
DOI: 10.2174/092986607782110257     Document Type: Article

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