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。风险很大程度上是基于对动物暴露和对人类影响的推断。建模和模拟的使用已被用来帮助理解从食物或空气中接触化学物质与反应之间的关系。通过在计算机中构建虚拟生物体来代表实验动物和人类，污染物在人体中的运动可以基于动物的实验测试来建模。因为从道德上讲，我们不能让人类暴露在污染物中，所以这是预测人类暴露的最佳方法。这些虚拟生物必须准确地代表真实形式，本提案旨在确保化学物质从外部暴露到内部或器官暴露的运动得到很好的代表。由于反应是基于器官的化学物质浓度，了解这一过程是必要的。这将有助于预测外部暴露与不同物种的器官暴露之间的关系。

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.