QSAR model for predicting pesticide aquatic toxicity

Journal of Chemical Information and Modeling

Volumn 45, Issue 6, 2005, Pages 1767-1774

  Mazzatorta, Paolo ^a   Smiesko, Martin ^a   Lo Piparo, Elena ^a   Benfenati, Emilio ^a  

^a MARIO NEGRI INSTITUTE FOR PHARMACOLOGICAL RESEARCH   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MOLECULAR STRUCTURE; NEURAL NETWORKS; SENSITIVITY ANALYSIS; TOXIC MATERIALS; WATER POLLUTION;

AQUATIC TOXICITY; CHEMICAL STRUCTURES; HALL INDEX; LINEAR REGRESSION;

PESTICIDES;

PESTICIDE;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL MODEL; GOVERNMENT; LD 50; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REGRESSION ANALYSIS; REPRODUCIBILITY; RISK ASSESSMENT; THERMODYNAMICS; UNITED STATES; WATER POLLUTANT;

ALGORITHMS; LETHAL DOSE 50; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); PESTICIDES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; THERMODYNAMICS; UNITED STATES; UNITED STATES ENVIRONMENTAL PROTECTION AGENCY; WATER POLLUTANTS, CHEMICAL;

EID: 28944453654     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci0502471     Document Type: Conference Paper

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