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EPI Suite™ 的历史以及美国《有毒物质控制法》新化学物质风险评估中化学性质估算的未来展望。

History of EPI Suite™ and future perspectives on chemical property estimation in US Toxic Substances Control Act new chemical risk assessments.

作者信息

Card Marcella L, Gomez-Alvarez Vicente, Lee Wen-Hsiung, Lynch David G, Orentas Nerija S, Lee Mari Titcombe, Wong Edmund M, Boethling Robert S

机构信息

United States Environmental Protection Agency Office of Pollution Prevention and Toxics, Washington, DC 20004, USA.

Abt Associates, Bethesda, MD 20814, USA.

出版信息

Environ Sci Process Impacts. 2017 Mar 22;19(3):203-212. doi: 10.1039/c7em00064b.

Abstract

Chemical property estimation is a key component in many industrial, academic, and regulatory activities, including in the risk assessment associated with the approximately 1000 new chemical pre-manufacture notices the United States Environmental Protection Agency (US EPA) receives annually. The US EPA evaluates fate, exposure and toxicity under the 1976 Toxic Substances Control Act (amended by the 2016 Frank R. Lautenberg Chemical Safety for the 21 Century Act), which does not require test data with new chemical applications. Though the submission of data is not required, the US EPA has, over the past 40 years, occasionally received chemical-specific data with pre-manufacture notices. The US EPA has been actively using this and publicly available data to develop and refine predictive computerized models, most of which are housed in EPI Suite™, to estimate chemical properties used in the risk assessment of new chemicals. The US EPA develops and uses models based on (quantitative) structure-activity relationships ([Q]SARs) to estimate critical parameters. As in any evolving field, (Q)SARs have experienced successes, suffered failures, and responded to emerging trends. Correlations of a chemical structure with its properties or biological activity were first demonstrated in the late 19 century and today have been encapsulated in a myriad of quantitative and qualitative SARs. The development and proliferation of the personal computer in the late 20 century gave rise to a quickly increasing number of property estimation models, and continually improved computing power and connectivity among researchers via the internet are enabling the development of increasingly complex models.

摘要

化学性质估算在许多工业、学术和监管活动中都是关键组成部分,包括在美国环境保护局(US EPA)每年收到的约1000份新化学物质预生产通知相关的风险评估中。美国环境保护局根据1976年《有毒物质控制法》(经2016年《弗兰克·R·劳滕伯格21世纪化学安全法》修订)评估化学物质的归宿、暴露和毒性,该法案对新化学物质应用不要求测试数据。虽然不要求提交数据,但在过去40年里,美国环境保护局偶尔会收到预生产通知中的特定化学物质数据。美国环境保护局一直在积极利用这些数据以及公开可得的数据来开发和完善预测性计算机模型,其中大部分模型都包含在EPI Suite™中,以估算新化学物质风险评估中使用的化学性质。美国环境保护局基于(定量)构效关系([Q]SARs)开发和使用模型来估算关键参数。与任何不断发展的领域一样,(Q)SARs有成功,有失败,也应对了新出现的趋势。化学结构与其性质或生物活性之间的相关性最早在19世纪末得到证明,如今已被纳入众多定量和定性的构效关系中。20世纪末个人电脑的发展和普及导致了越来越多的性质估算模型出现,并且研究人员通过互联网不断提高的计算能力和连通性使得越来越复杂的模型得以开发。

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