In silico prediction of the aniline derivatives toxicities to Tetrahymena pyriformis using chemometrics tools

Toxicological and Environmental Chemistry

Volumn 94, Issue 10, 2012, Pages 2019-2034

  Asadollahi Baboli, M ^a  

^a BABOL NOSHIRVANI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

adaptive neuro fuzzy inference system; aniline derivatives; modified ant colony optimization; quantitative structure toxicity relationships; Tetrahymena pyriformis

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANILINE DERIVATIVES; ANT COLONY OPTIMIZATION (ACO); QUANTITATIVE STRUCTURE-TOXICITY RELATIONSHIPS; TETRAHYMENA PYRIFORMIS;

ALCOHOLS; ALGORITHMS; ANILINE; ARTIFICIAL INTELLIGENCE; FUZZY SYSTEMS; MOLECULES; TRACKING (POSITION);

TOXICITY;

CILIATE; ECOTOXICOLOGY; FUZZY MATHEMATICS; HYBRID; NUMERICAL MODEL; PREDICTION; RISK ASSESSMENT; SILICON; TOOL USE; TOXICITY;

TETRAHYMENA PYRIFORMIS;

EID: 84870950084     PISSN: 02772248     EISSN: 10290486     Source Type: Journal    
DOI: 10.1080/02772248.2012.740046     Document Type: Article

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