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基于多活性 3D-QSAR 模型和分子动力学的环保型 PCN 衍生物设计与环境行为模拟

Environment-friendly PCN derivatives design and environmental behavior simulation based on a multi-activity 3D-QSAR model and molecular dynamics.

机构信息

MOE Key Laboratory of Resources and Environmental Systems Optimization, North China Electric Power University, Beijing 102206, China.

出版信息

J Hazard Mater. 2020 Jul 5;393:122339. doi: 10.1016/j.jhazmat.2020.122339. Epub 2020 Feb 19.

DOI:10.1016/j.jhazmat.2020.122339
PMID:32135364
Abstract

A multi-activity three-dimensional quantitative structure-activity relationship (3D-QSAR) model was established based on the comprehensive evaluation index (CEI) of polychlorinated naphthalenes (PCNs). The CEI values were calculated using the vector analysis method in combination with the following parameters: biological toxicity (predicted by logEC), bioconcentration (predicted by logK), long-distance migration (predicted by logP), and biodegradation (predicted by total-score). Additionally, sixty-four CN-70 derivatives with lower CEI values were designed, among which three derivatives with reduced CEI values were selected for verification based on an evaluation of their persistent organic pollutant properties and practicability. Finally, an environmental behavior simulation was conducted via molecular dynamics simulation aided by the Taguchi experimental design by considering the degradation characteristics of the three aforementioned CN-70 derivatives as an example. Only two of the selected CN-70 derivatives were observed to be more easily degraded when compared with the CN-70 molecule (ascending range: 11.57 %-13.57 %) in a real-world setting, which was consistent with the biodegradability prediction results (ascending range: 14.94 %-22.49 %) obtained through the molecular docking studies. The multi-activity 3D-QSAR model established in this study overcame the limitations of generating molecular designs based on single-effect models from the source because it focused on the multiple effects of the pollutants.

摘要

建立了一个基于多活性三维定量构效关系(3D-QSAR)模型的综合评价指数(CEI)的多氯萘(PCNs)。CEI 值通过矢量分析方法与以下参数相结合进行计算:生物毒性(通过 logEC 预测)、生物浓缩(通过 logK 预测)、远距离迁移(通过 logP 预测)和生物降解(通过总评分预测)。此外,设计了 64 种 CEI 值较低的 CN-70 衍生物,其中基于持久性有机污染物特性和实用性的评估,选择了三种 CEI 值降低的衍生物进行验证。最后,通过分子动力学模拟和 Taguchi 实验设计考虑三种上述 CN-70 衍生物的降解特性,进行了环境行为模拟。仅在实际环境中观察到两种选择的 CN-70 衍生物比 CN-70 分子更容易降解(上升范围:11.57%-13.57%),这与通过分子对接研究获得的生物降解性预测结果(上升范围:14.94%-22.49%)一致。本研究中建立的多活性 3D-QSAR 模型克服了从源头上基于单一效应模型生成分子设计的局限性,因为它侧重于污染物的多种效应。

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