Quantitative Structure–Activity Relationship Methods for the Prediction of the Toxicity of Pollutants

Authors: Satpathy R
Publication: Environ Chem Lett
Keywords: ADMET, ADMET Modeler, biodegradation, computational tools, database, descriptors, environmental toxicity, QSAR, quantitative structure–activity relationship modeling, risk assessment, toxic compounds, toxicity prediction, validation methods
Software: ADMET Predictor®

Abstract

Continuous flow of toxic and persistent compounds to the environment is a global health issue. However, assessing the toxic effects of compounds is a difficult task, because some compounds may possess a combined effect during exposure. Moreover, toxicity evaluation by animal testing is long and costly. Alternatively, modeling of quantitative structure–activity relationships (QSAR) can be used to predict the acute toxicity of molecules. Properties of toxic compounds are computed and correlated using softwares and databases. Recently, this method has found potential applications for the risk assessment of several untested, toxic chemicals. This review focuses on quantitative structure–activity relationship modeling methods for the analysis of toxic compounds. Computational tool and databases are presented.