稠合/非稠合多环芳烃(FNFPAHs)对生态系统和人体具有多种毒性作用,但其毒性数据的获取受到有限资源的极大限制。这里,我们遵循EUREACH法规,并使用Pimephalespromelas作为模型生物,首次研究了FNFPAHs与其对水生环境的毒性之间的定量结构-活性关系(QSAR)。我们开发了一个单一的QSAR模型(SM1),其中包含五个简单且可解释的2D分子描述符,符合经合组织QSAR相关原则的验证,并详细分析了它们与毒性的机理关系。该模型具有良好的拟合度和鲁棒性,并且具有更好的外部预测性能(MAEtest=0.4219)比ECOSAR模型(MAEtest=0.5614)。为了进一步提高其预测精度,三个合格的单一模型(SM)用于构建共识模型(CM),最好的CM2(MAEtest=0.3954)对测试化合物的预测精度明显高于SM1,并且也优于T.E.S.T.共识模型(MAEtest=0.4233)。随后,通过SM1预测了来自农药特性数据库(PPDB)的252种真正的外部FNFPAHs的毒性,预测结果表明,在模型的应用领域(AD)内可靠地预测了94.84%的化合物。我们还应用了最好的CM2来预测未测试的252种FNFPAHs。此外,我们提供了被列为前10名毒性最强的FNFPAHs的农药的机理分析和解释。总之,所有已开发的QSAR和共识模型均可用作预测未知FNFPAHs对Pimephalespromelas的急性毒性的有效工具,因此对于水生环境中FNFPAHs污染的风险评估和监管很重要。
Fused/non-fused polycyclic aromatic hydrocarbons (
FNFPAHs) have a variety of toxic effects on ecosystems and human body, but the acquisition of their toxicity data is greatly limited by the limited resources available. Here, we followed the EU REACH regulation and used Pimephales promelas as a model organism to investigate the quantitative structure-activity relationship (QSAR) between the
FNFPAHs and their toxicity for the aquatic environment for the first time. We developed a single QSAR model (SM1) containing five simple and interpretable 2D molecular descriptors, which met the validation of OECD QSAR-related principles, and analyzed their mechanistic relationships with toxicity in detail. The model had good degree of fitting and robustness, and had better external prediction performance (MAEtest = 0.4219) than ECOSAR model (MAEtest = 0.5614). To further enhance its prediction accuracy, the three qualified single models (SMs) were used for constructing consensus models (CMs), the best one CM2 (MAEtest = 0.3954) had a significantly higher prediction accuracy for test compounds than SM1, and also outperformed the T.E.S.T. consensus model (MAEtest = 0.4233). Subsequently, the toxicity of 252 true external
FNFPAHs from Pesticide Properties Database (PPDB) was predicted by SM1, the prediction results showed that 94.84 % compounds were reliably predicted within the model\'s application domain (AD). We also applied the best CM2 to predict the untested 252
FNFPAHs. Furthermore, we provided a mechanistic analysis and explanation for pesticides ranked as top 10 most toxic FNFPAHs. In summary, all developed QSAR and consensus models can be used as efficient tools for predicting the acute toxicity of unknown
FNFPAHs to Pimephales promelas, thus being important for the risk assessment and regulation of FNFPAHs contamination in aquatic environment.