Computational Exposure Science: An Emerging Discipline to Support 21st-Century Risk Assessment
Computational Exposure Science: An Emerging Discipline to Support 21st-Century Risk Assessment
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DOI：
10.1289/ehp.1509748
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发表时间：
2016-06-01
影响因子：
10.4
通讯作者：
Buckley, Timothy J.
中科院分区：
文献类型：
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作者：
Egeghy, Peter P.;Sheldon, Linda S.;Buckley, Timothy J.
背景技术背景：计算暴露科学代表了环境科学的一个前沿领域，它正在出现并迅速发展。评论：在这篇评论中，我们定义了这一新兴学科，描述了一个实施框架，并回顾了一些正在进行的关键研究元素，这些研究元素正在推进消费品中化学品暴露方面的科学。计算暴露科学的基本要素包括开发可靠的、计算高效的预测暴露模型;识别、获取和应用数据来支持和评估这些模型;并产生改进的方法来推断化学品。我们描述了我们在这些领域的努力，并提供了一些例子，展示了进展和potenties.CONCLUSIONS：计算暴露科学，与毒理学的类似努力，正在迎来一个新的时代的风险评估，大大扩展了我们的能力，以评估化学品的安全性和可持续性，并保护公众健康。
BACKGROUND: Computational exposure science represents a frontier of environmental science that is emerging and quickly evolving.OBJECTIVES: In this commentary, we define this burgeoning discipline, describe a framework for implementation, and review some key ongoing research elements that are advancing the science with respect to exposure to chemicals in consumer products.DISCUSSION: The fundamental elements of computational exposure science include the development of reliable, computationally efficient predictive exposure models; the identification, acquisition, and application of data to support and evaluate these models; and generation of improved methods for extrapolating across chemicals. We describe our efforts in each of these areas and provide examples that demonstrate both progress and potential.CONCLUSIONS: Computational exposure science, linked with comparable efforts in toxicology, is ushering in a new era of risk assessment that greatly expands our ability to evaluate chemical safety and sustainability and to protect public health.