title: A general QSAR model for predicting the acute toxicity of pesticides to Lepomis macrochirus.
abstract: A Quantitative Structure-Activity Relationship (QSAR) model was derived for estimating the acute toxicity of pesticides against Lepomis macrochirus under varying experimental conditions. Chemicals were described by means of autocorrelation descriptors encoding lipophilicity (H(0) to H(5)) and the H-bonding acceptor ability (HBA(0)) and H-bonding donor ability (HBD(0)) of the pesticides. A three-layer feedforward neural network trained by the back-propagation algorithm was used as statistical engine for deriving a powerful QSAR model accounting for the weight of the fish, time of exposure, temperature, pH, and water hardness.
authors.affiliation: CTIS, 3 Chemin de la Gravière, 69140 Rillieux La Pape, France.
authors.forename: J
authors.initials: J
authors.lastname: Devillers
mesh_terms: D000818:Animals; D001835:Body Weight; D006863:Hydrogen-Ion Concentration; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D010473:Perciformes; D010575:Pesticides / Q000633:toxicity*; D013329:Structure-Activity Relationship; D013696:Temperature; D013997:Time Factors
chemical_list: D010575:Pesticides