Quantitative structure-activity relationships (QSARs) in toxicology: a historical perspective

被引:177
作者
Schultz, TW
Cronin, MTD
Walker, JD
Aptula, AO
机构
[1] Univ Tennessee, Coll Vet Med, Dept Comparat Med, Knoxville, TN 37996 USA
[2] Liverpool John Moores Univ, Sch Pharm & Chem, Liverpool L3 3AF, Merseyside, England
[3] US EPA, TSCA Interagcy Testing Comm, Off Pollut Prevent & Tox, Washington, DC 20460 USA
[4] UFZ Helmholtz Ctr Environm Res, D-04318 Leipzig, Germany
来源
JOURNAL OF MOLECULAR STRUCTURE-THEOCHEM | 2003年 / 622卷 / 1-2期
关键词
quantitative structure-activity relationship; basic concepts; aquatic toxicity; mechanisms of toxic action; environmental estrogens; health effects;
D O I
10.1016/S0166-1280(02)00614-0
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The history of the use of quantitative structure-activity relationships (QSARs) in toxicology, both for environmental, and human health effects is described. A particular emphasis is made on the science in response to the United States Toxic Substance Control Act of 1976. Specifically, the basic concepts and objectives of QSARs for toxicity are reviewed. QSARs for environmental and human health effects are discussed separately. Environmental, and more specifically, ecotoxicity, QSARs have focused historically on modeling congeneric series and non-specific effects in aquatic organisms through the use of the logarithm of the 1-octanol/water partition coefficient to describe hydrophobicity, and hence uptake. Compounds that do not fit these QSARs (namely the outliers) have been explained by differences in mechanism of acute toxicity, especially as a result of electro(nucleo)philic interactions. In light of this, mechanisms of acute toxicity are discussed. QSAR approaches to receptor-mediated effects, such as those exhibited by environmental estrogens, and competitive binding to the estrogen receptor, are different from those typically applied to model acute toxic endpoints. Several of these approaches, including three-dimensional QSAR techniques, are reviewed. Human health effects include both local and systemic effects. Local effects (e.g. corrosivity and skin sensitization) are often modeled by multivariate QSAR methods such as linear regression and discriminant analysis. The prediction of systemic effects such as mutagenesis and carcinogenesis requires consideration of the endpoint and a more mechanistic basis for modeling. Approaches to predict these endpoints include the use of expert systems. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
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页码:1 / 22
页数:22
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