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挖掘、提炼并对美国环境保护局纳米知识数据库中的纳米信息学进行定量构效关系分析。

Mining, refining, and QSAR analysing the nanoinformatics in EPA NaKnowBase.

作者信息

Harten Paul, Helgen Henry, Melendez Wilson, Beach Bradley, Boyes William K, Sotiropoulos Iason, Karatzas Pantelis, Sarimveis Haralambos, Mortensen Holly M

机构信息

Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, AWBERC MS 483, 26 West Martin Luther King Drive, Cincinnati, OH 45268, USA.

General Dynamics Information Technology, 3150 Fairview Park Drive, Falls Church, VA 22042, USA.

出版信息

Environ Sci Nano. 2024 Apr 17;11:2262-2274. doi: 10.1039/d3en00619k.

Abstract

Concerns about the safety of manufacturing and using engineered nanomaterials (ENMs) have been increasing as the technology continues to expand. Efforts have been underway to investigate the potentially harmful effects of ENMs without carrying out the challenging empirical studies. To make such investigations possible, the US EPA Office of Research and Development (ORD) developed the nanomaterial database NaKnowBase (NKB) containing the detail of hundreds of assays conducted and published by ORD scientists experimentally investigating the environmental health and safety effects of ENMs (nanoEHS). This article describes specifics of the effort to mine, refine, and analyse the NKB. Here we use a quantitative structure activity relationship (QSAR) analysis, using a random forest of decision trees to predict the cell viability effects that occur upon exposure to ENMs that are similar in composition and structure and implement a set of laboratory conditions. These predictions are confirmed using the Jaqpot cloud platform developed by the National Technical University of Athens, Greece (NTUA) where nanoEHS effects are investigated with scientists working together globally.

摘要

随着工程纳米材料(ENM)技术的不断扩展,人们对其制造和使用安全性的担忧日益增加。在未开展具有挑战性的实证研究的情况下,已在努力调查ENM的潜在有害影响。为了使此类调查成为可能,美国环境保护局(EPA)研究与发展办公室(ORD)开发了纳米材料数据库NaKnowBase(NKB),其中包含ORD科学家通过实验研究ENM的环境健康与安全影响(nanoEHS)所进行和发表的数百项检测的详细信息。本文描述了挖掘、完善和分析NKB的具体工作。在此,我们使用定量构效关系(QSAR)分析,通过决策树的随机森林来预测在一组实验室条件下,暴露于成分和结构相似的ENM时所产生的细胞活力效应。这些预测通过希腊雅典国立技术大学(NTUA)开发的Jaqpot云平台得到了证实,在该平台上,全球的科学家共同研究nanoEHS效应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d4f/11457095/defcf2ab9b27/nihms-2004909-f0001.jpg

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