Title of article :
Computer-based QSARs for predicting mixture toxicity of benzene and its derivatives Original Research Article
Author/Authors :
Li Zhang، نويسنده , , Pei-jiang Zhou، نويسنده , , Feng Yang، نويسنده , , Zhen-Dong Wang، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Abstract :
During the past decades, the Quantitative structure–activity relationships (QSARs) have been proven to be reliable tools when little or no empirical data are available in medicinal chemistry, biochemistry, toxicology, and environmental sciences. However, only few studies that quantitatively predict mixtures toxicity have been reported. In this study, the QASR models for the binary mixtures toxicity of 12 benzene and its derivatives, including eight non-polar–narcotic compounds and four polar narcotic compounds were developed, without reference to exact toxicity mechanisms of single compounds. All parameters for the QSAR studies were defined on the basis of quantum mechanical calculations and these parameters were selected by the stepwise procedure. The results of this study provided a simple means of predicting the binary mixtures toxicity from the chemical structure.
Keywords :
Ab initio MO methods , Mixture toxicity , Quantum chemical parameters , QSAR , Molecular structure
Journal title :
Chemosphere
Journal title :
Chemosphere