Prediction of acute aquatic toxicity toward Daphnia magna by using the GA-kNN method

ATLA Alternatives to Laboratory Animals

Volumn 42, Issue 1, 2014, Pages 31-41

  Cassotti, Matteo ^a   Ballabio, Davide ^a   Consonni, Viviana ^a   Mauri, Andrea ^a   Tetko, Igor V ^b,c,d   Todeschini, Roberto ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

^b INSTITUTE OF EPIDEMIOLOGY   (Germany)

^c KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

^d EADMET GmbH   (Germany)

Author keywords

Aquatic toxicity; Daphnia magna; Genetic algorithms; KNN; QSAR

Indexed keywords

AMINE; AROMATIC NITRO COMPOUND; BENZOTRIAZOLE DERIVATIVE; CHLOROBENZENE; IONIC LIQUID; ORGANOPHOSPHORUS COMPOUND; ORGANOTIN COMPOUND; PHOSPHOROTHIOIC ACID DERIVATIVE; POLYBROMINATED DIPHENYL ETHER; TRIAZOLE DERIVATIVE;

ACUTE AQUATIC TOXICITY; ARTICLE; CHEMICAL STRUCTURE; DAPHNIA MAGNA; ELECTROPHILICITY; FILTRATION; HYDROGEN BOND; K NEAREST NEIGHBOR; LIPOPHILICITY; NONHUMAN; NUCLEOPHILICITY; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; STATISTICAL MODEL; STEREOCHEMISTRY; TOXICITY;

ANIMALS; DAPHNIA; ORGANIC CHEMICALS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; REGRESSION ANALYSIS; TOXICITY TESTS, ACUTE;

EID: 84900527515     PISSN: 02611929     EISSN: None     Source Type: Journal    
DOI: 10.1177/026119291404200106     Document Type: Article

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