An evaluation of global QSAR models for the prediction of the toxicity of phenols to Tetrahymena pyriformis

Chemosphere

Volumn 71, Issue 7, 2008, Pages 1225-1232

  Enoch, S J ^a   Cronin, M T D ^a   Schultz, T W ^b   Madden, J C ^a  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF TENNESSEE   (United States)

Author keywords

Evaluation; Mechanism of action; Phenol; QSAR; Tetrahymena pyriformis; Toxicity

Indexed keywords

MATHEMATICAL MODELS; NEURAL NETWORKS; STATISTICAL METHODS; TOXICITY;

RESPONSE SURFACE; TETRAHYMENA PYRIFORMIS;

PHENOLS;

PHENOL;

MATHEMATICAL MODELS; NEURAL NETWORKS; PHENOLS; STATISTICAL METHODS; TOXICITY;

ASSESSMENT METHOD; MODELING; PHENOL; PREDICTION; PROTOZOAN; TOXICITY;

ARTICLE; BIOLOGICAL MODEL; CONTROLLED STUDY; NERVE CELL NETWORK; NONHUMAN; QUANTITATIVE STRUCTURE ACTIVITY RELATION; TETRAHYMENA PYRIFORMIS; TOXICITY TESTING;

ANIMALS; ENVIRONMENTAL MONITORING; ENVIRONMENTAL POLLUTANTS; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); PHENOLS; PREDICTIVE VALUE OF TESTS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; TETRAHYMENA PYRIFORMIS;

TETRAHYMENA PYRIFORMIS;

EID: 40949159249     PISSN: 00456535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemosphere.2007.12.011     Document Type: Article

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