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Prediction of Luminescent Bacteria Toxicity Using Quantum Chemical Descriptors:Test of a Classification Scheme

机译:Quantum Chemical描述函数预测发光细菌毒性:分类方案的测试

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The classification scheme of Verhaar et al. (1992) based on fish toxicity data wasinvestigated as to whether it is applicable to photobacteria toxicity data (Microtox). For thispurpose 240 diverse chemicals were classified according to this scheme into 3 classes: 1) nonpo-lar narcotics, 2) polar narcotics, and 3) reactive chemicals. In good agreement with former re-sults, a baseline quantitative structure-activity relationship (QSAR) for the photobacteria tox-icity was established: log 1/EC50 = 1.07~*logP—2.36. Results from the analysis of relativetoxicity showed that the classification scheme is not applicable to the Microtox data withoutmodification. Many of the Class 1 compounds are considerably more toxic than the baselinemodel predicts. Despite this, a rather good QSAR with molecular polarizability, lowest unoccu-pied molecular orbital (LUMO) energy, and a shape descriptor was found for the Class 1 com-pounds. For Classes 2 and 3, the relative toxicities indicate a mixing of polar narcotic andreactive compounds. Also the corresponding QSARs were rather poor. For Class 2, however, theresult could be improved substantially by excluding some outliers. Maybe some minor modifi-cations of the rules are sufficient to adapt them to the Microtox data. For Class 3, further classi-fication into reactive subclasses is required. The predictability of the Class 1 QSAR for the other2 classes is relatively high, revealing that many Class 2 and 3 compounds are similar to nonpo-lar narcotics.
机译:Verhaar等人的分类方案。 (1992)基于鱼类毒性数据,这是一种适用于光菌毒性数据(Microotox)。对于本发明的240,根据该方案将各种化学品分为3级:1)非研入毒物,2)极性麻醉剂和3)反应化学品。与以前的重新调试良好的协议,建立了Photobacteria Tox-Icity的基线定量结构 - 活动关系(QSAR):Log 1 / EC50 = 1.07〜* LOGP-2.36。对相关毒性分析的结果表明,分类方案不适用于没有修改的MicroTox数据。许多阶级化合物比基因因模型预测得多毒性更多。尽管如此,对于分子极化性,最低的未经Cocu-Pied分子轨道(Lumo)能量,以及形状描述符,发现了一种相当良好的QSAR。对于类别2和3,相对毒性表示极性麻醉和反应性化合物的混合。相应的QSAR也相当差。然而,对于第2级,通过排除一些异常值,可以基本上提高结果。也许规则的一些次要修改阳离子足以使它们调整到Microotox数据。对于第3类,需要进一步分类为反应性子类。对于其他2类的1级QSAR的可预测性相对较高,揭示了许多等级2和3种化合物类似于非PAR毒品。

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