Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700 032, India.
Chemosphere. 2012 Apr;87(4):339-55. doi: 10.1016/j.chemosphere.2011.12.019. Epub 2012 Jan 4.
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.
不同国家和地区的食品药品管理局及环境保护机构都在采用定量构效关系(QSAR)模型来填补与环境和人类健康相关的化学物质特性方面的数据空白。致癌性是当前备受关注的毒性终点之一。种间毒性相关性可以为评估具有已知暴露水平的多种野生动物物种对有毒化学物质的敏感性提供一种工具。在此背景下,我们根据广泛多样的分子结构、涉及众多化学类别和生物学机制的 166 种有机化学物质的致癌潜力,按照经济合作与发展组织(OECD)的指导原则,为大鼠和小鼠(根据 OECD 标准,啮齿类动物)开发了定量种间结构 - 致癌相关性模型。所有开发的模型都根据 OECD 关于 QSAR 模型验证的原则进行了评估。当其他物种的数据可用时,我们会为任何一个物种提供个别化合物致癌性的共识预测。通过开发的模型,可以识别出导致特定致癌终点的化学物质的结构片段。这些模型还用于预测 247 种有机化学物质(其中包含大鼠致癌性数据)的小鼠致癌性和 150 种化学物质(其中包含小鼠致癌性数据)的大鼠致癌性。还探讨了大鼠和小鼠致癌性值的鉴别特征。