First report on development of quantitative interspecies structure-carcinogenicity relationship models and exploring discriminatory features for rodent carcinogenicity of diverse organic chemicals using OECD guidelines

被引:35
作者
Kar, Supratik [1 ]
Roy, Kunal [1 ]
机构
[1] Jadavpur Univ, Dept Pharmaceut Technol, Drug Theoret & Cheminformat Lab, Kolkata 700032, India
关键词
Carcinogenicity; Interspecies correlation; Quantitative structure-activity relationship; Organization for Economic Cooperation and Development; Chemicals; PREDICTIVE TOXICOLOGY CHALLENGE; QSAR MODEL; EXTERNAL VALIDATION; TEST SETS; TOXICITY; MECHANISMS; SELECTION; REGRESSION; POTENCY; ANALOGS;
D O I
10.1016/j.chemosphere.2011.12.019
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Different regulatory agencies in food and drug administration and environmental protection worldwide are employing quantitative structure-activity relationship (QSAR) models to fill the data gaps related with properties of chemicals affecting the environment and human health. Carcinogenicity is a toxicity endpoint of major concern in recent times. Interspecies toxicity correlations may provide a tool for estimating sensitivity towards toxic chemical exposure with known levels of uncertainty for a diversity of wildlife species. In this background, we have developed quantitative interspecies structure-carcinogenicity correlation models for rat and mouse [rodent species according to the Organization for Economic Cooperation and Development (OECD) guidelines] based on the carcinogenic potential of 166 organic chemicals with wide diversity of molecular structures, spanning a large number of chemical classes and biological mechanisms. All the developed models have been assessed according to the OECD principles for the validation of QSAR models. Consensus predictions for carcinogenicity of the individual compounds are presented here for any one species when the data for the other species are available. Informative illustrations of the contributing structural fragments of chemicals which are responsible for specific carcinogenicity endpoints are identified by the developed models. The models have also been used to predict mouse carcinogenicities of 247 organic chemicals (for which rat carcinogenicities are present) and rat carcinogenicities of 150 chemicals (for which mouse carcinogenicities are present). Discriminatory features for rat and mouse carcinogenicity values have also been explored. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:339 / 355
页数:17
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