Development and validation of predictive permeability and partitioning models for organic contaminants within physiologically-based toxicokinetic models

环境污染物暴露是一个日益严重的问题，评估与这种暴露有关的人类风险仍然是一门不精确的科学。风险主要基于动物接触和影响对人类的外推。使用建模和模拟已被用来作为一种援助，了解化学品接触，从食物或空气，和反应之间的关系。通过在计算机中构建虚拟生物体来代表实验室动物和人类，可以基于动物实验测试来模拟污染物在人体中的运动。因为我们不能道德地将人类暴露于污染物，这代表了预测人类暴露的最佳方法。这些虚拟有机体必须准确地代表真正的形式，而这项建议旨在确保化学品从外部暴露到内部或器官暴露的运动得到充分的体现。由于反应是基于化学品的器官浓度，因此了解这一过程是必要的。这将允许预测外部暴露如何与不同物种的器官暴露相关。

Environmental contaminant exposure is an escalating concern and assessing the human risks associated with such exposure continues to be an inexact science. Risks are largely based upon the extrapolation of exposure and effect in animals to those in human. The use of modeling and simulation has been used as an aid for understanding the relationship between chemical exposure, from food or air, and response. By building virtual organisms in computers to represent both laboratory animals and humans, the movement of the contaminant in the human body can be modeled based on experimental tests in animals. Because we cannot ethically expose humans to contaminants, this represents the best means at predicting human exposure. These virtual organisms must accurately represent the true form and this proposal aims to ensure that the movement of chemical from external exposure to internal or organ exposure is well represented. Since response is based on organ concentrations of the chemical, understanding this process is imperative. This will allow predictions of how the external exposure relates to organ exposure across different species.