风险评估
计算机科学
计算生物学
成对比较
推论
人类健康
生化工程
背景(考古学)
可靠性(半导体)
数量结构-活动关系
级联
风险分析(工程)
生物系统
健康风险评估
相似性(几何)
苯衍生物
鉴定(生物学)
定量评估
数据挖掘
机器学习
概率逻辑
暴露评估
对偶(语法数字)
健康风险
贝叶斯推理
化学
生物
作者
Ze Zhang,Zhicong He,Chengying Zhou,Gan Miao,Lin Lü,Ziyuan Li,Peijie Sun,Yuebin Lv,Guangbo Qu,Wei Peng,Xiaoting Jin,Yuxin Zheng,Guibin Jiang
标识
DOI:10.1021/acs.est.6c01412
摘要
Organophosphate flame retardants (OPFRs), as emerging substitutes for halogenated flame retardants, are widely detected in populations and pose global health concerns. However, their structural diversity and expanding numbers challenge conventional experimental risk assessment. Here, we present a quantitative mode-of-action (qMOA) framework integrating structural attributes and cascade mechanistic insights to enable predictive risk evaluation. From 68 registered OPFRs, 59 representative structurally diverse compounds (average pairwise similarity value: 0.51) were selected for model training. The model identified benzene ring count (55.34%) and substituent type (39.14%) as the primary structural determinants of toxicity. This structure–activity relationship was experimentally validated across tiered events in mitochondrial dysfunction─a recognized MOA for environmental pollutants. Leveraging the validated link and experimental data, we developed a qMOA model to calculate mitochondrial dysfunction MOA-specific threshold doses for individual OPFRs. For example, model-derived thresholds for widely detected OPFRs were 27.84 μg/mL for EHDPP (two benzene rings) and 75.76 μg/mL for TEP (three CH 3 substituents, nonbenzene ring). This enables direct comparison with human exposure data, revealing that relatively multibenzene-ring OPFRs pose higher potential health risks. This study advances a mechanism-informed strategy that enhances the reliability of toxicity inference and enables rapid risk quantification for diverse existing OPFRs and emerging analogues.
科研通智能强力驱动
Strongly Powered by AbleSci AI