Laboratory of Environmental Chemometrics, Faculty of Chemistry, University of Gdansk, Gdansk, Poland.
IdeaConsult Ltd., Sofia, Bulgaria.
Food Chem Toxicol. 2018 Feb;112:478-494. doi: 10.1016/j.fct.2017.09.037. Epub 2017 Sep 21.
Nanotechnology and the production of nanomaterials have been expanding rapidly in recent years. Since many types of engineered nanoparticles are suspected to be toxic to living organisms and to have a negative impact on the environment, the process of designing new nanoparticles and their applications must be accompanied by a thorough risk analysis. (Quantitative) Structure-Activity Relationship ([Q]SAR) modelling creates promising options among the available methods for the risk assessment. These in silico models can be used to predict a variety of properties, including the toxicity of newly designed nanoparticles. However, (Q)SAR models must be appropriately validated to ensure the clarity, consistency and reliability of predictions. This paper is a joint initiative from recently completed European research projects focused on developing (Q)SAR methodology for nanomaterials. The aim was to interpret and expand the guidance for the well-known "OECD Principles for the Validation, for Regulatory Purposes, of (Q)SAR Models", with reference to nano-(Q)SAR, and present our opinions on the criteria to be fulfilled for models developed for nanoparticles.
近年来,纳米技术和纳米材料的生产迅速发展。由于许多类型的工程纳米颗粒被怀疑对生物体有毒,并对环境产生负面影响,因此设计新型纳米颗粒及其应用的过程必须伴随着彻底的风险分析。(定量)结构-活性关系 ([Q]SAR) 建模是可用的风险评估方法中具有前景的选择。这些基于计算机的模型可用于预测多种特性,包括新设计的纳米颗粒的毒性。然而,(Q)SAR 模型必须经过适当的验证,以确保预测的清晰性、一致性和可靠性。本文是最近完成的专注于开发纳米材料 (Q)SAR 方法的欧洲研究项目的联合倡议。目的是参考纳米-(Q)SAR 来解释和扩展针对监管目的的“经合组织 (Q)SAR 模型验证原则”的指南,并就为纳米颗粒开发的模型应满足的标准提出我们的意见。