Classification of a diverse set of Tetrahymena pyriformis toxicity chemical compounds from molecular descriptors by statistical learning methods

Chemical Research in Toxicology

Volumn 19, Issue 8, 2006, Pages 1030-1039

  Xue, Y ^a,c   Li, H ^a   Ung, C Y ^a,b   Yap, C W ^a   Chen, Y Z ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c SICHUAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

TOXIC SUBSTANCE;

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL ANALYSIS; ENZYME INHIBITION; NONHUMAN; PREDICTION; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SCREENING; STATISTICAL ANALYSIS; STATISTICAL LEARNING METHOD; TETRAHYMENA PYRIFORMIS; TOXICITY TESTING; VALIDATION PROCESS;

ANIMALS; LOGISTIC MODELS; PREDICTIVE VALUE OF TESTS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; TETRAHYMENA PYRIFORMIS; TOXICITY TESTS;

TETRAHYMENA PYRIFORMIS;

EID: 33748702895     PISSN: 0893228X     EISSN: None     Source Type: Journal    
DOI: 10.1021/tx0600550     Document Type: Article

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