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- W2100099385 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." @default.
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- W2100099385 date "2001-02-01" @default.
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- W2100099385 title "A General QSAR Model for Predicting the Acute Toxicity of Pesticides to <i>Lepomis Macrochirus</i>" @default.
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- W2100099385 doi "https://doi.org/10.1080/10629360108035361" @default.
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