Predicting aquatic toxicities of chemical pesticides in multiple test species using nonlinear QSTR modeling approaches

Correlative distribution of measured and QSTR model (DTF and DTB) predicted aquatic toxicities of chemical pesticides in multiple test species. [Display omitted] •QSTRs developed for predicting aquatic toxicity of pesticides in multiple species.•Structural diversity of chemicals and nonlinearity in...

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Veröffentlicht in:	Chemosphere (Oxford) 2015-11, Vol.139, p.246-255
Hauptverfasser:	Basant, Nikita, Gupta, Shikha, Singh, Kunwar P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algae Aquatic Organisms - drug effects Aquatic toxicity Chemical pesticides Construction Construction costs Decision Trees Global QSTRs Mathematical models Models, Theoretical Multi-species QSTRs Nonlinear Dynamics Nonlinearity Pesticides Pesticides - chemistry Pesticides - toxicity Quantitative Structure-Activity Relationship Selenastrum capricornutum Species Specificity Structural diversity Support vector machines Toxicity Water Pollutants, Chemical - chemistry Water Pollutants, Chemical - toxicity
Online-Zugang:	Volltext
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