Development of linear, ensemble, and nonlinear models for the prediction and interpretation of the biological activity of a set of PDGFR inhibitors

Journal of Chemical Information and Computer Sciences

Volumn 44, Issue 6, 2004, Pages 2179-2189

  Guha, Rajarshi ^a   Jurs, Peter C ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELL GROWTH; GROWTH RECEPTORS; HUMAN PLASMA; SIGNAL TRANSDUCTION;

BIOASSAY; CHROMOSOMES; DNA; DRUG PRODUCTS; ENZYMES; NEURAL NETWORKS; REGRESSION ANALYSIS; SYNTHESIS (CHEMICAL);

ENZYME INHIBITION;

PLATELET DERIVED GROWTH FACTOR RECEPTOR;

ARTICLE; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; DRUG ANTAGONISM; NONLINEAR SYSTEM; QUANTITATIVE STRUCTURE ACTIVITY RELATION; STATISTICAL MODEL;

LINEAR MODELS; MODELS, CHEMICAL; MODELS, MOLECULAR; MOLECULAR STRUCTURE; NONLINEAR DYNAMICS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RECEPTORS, PLATELET-DERIVED GROWTH FACTOR;

EID: 10044227497     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci049849f     Document Type: Article

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