首页> 外文期刊>Journal of Chemometrics >CLASSIFYING ENVIRONMENTAL POLLUTANTS. 2: SEPARATION OF CLASS 1 (BASELINE TOXICITY) AND CLASS 2 ('POLAR NARCOSIS') TYPE COMPOUNDS BASED ON CHEMICAL DESCRIPTORS
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CLASSIFYING ENVIRONMENTAL POLLUTANTS. 2: SEPARATION OF CLASS 1 (BASELINE TOXICITY) AND CLASS 2 ('POLAR NARCOSIS') TYPE COMPOUNDS BASED ON CHEMICAL DESCRIPTORS

机译:对环境污染进行分类。 2:基于化学成分的第1类(基线毒性)和第2类('极麻醉')类型化合物的分离

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A large part of the xenobiotics that are encountered as aquatic pollutants can be regarded as belonging to the so-called class 1 or baseline toxicity compounds. It is generally accepted that these compounds act through or can be considered to act through one and the same mechanism. A second important class of aquatic pollutants is formed by the slightly more toxic class 2 or polar narcosis compounds; this class of compounds is made up of, among others, phenols, anilines and similar slightly polar species and can also be considered to act through a single toxic mechanism. It has been shown that for both groups of chemicals the acute aquatic toxicity can be adequately modelled using a single-parameter quantitative structure-activity relationship (QSAR) equation based on log K_(ow). Furthermore, it has been shown that for compounds with a log K_(ow) above about 2.7 the distinction between the two classes, and hence between the two associated QSARs, breaks down. Apparently, the more specific mode of action, if there indeed is such a separate mechanism, converges to baseline toxicity at high log K_(ow). It therefore remains to be demonstrated whether this so-called 'polar narcosis' really is a distinct mode of action or just a perturbation of the baseline toxicity mechanism due to the more polar nature of the compounds. The chemical domain of class 1 and class 2 type compounds has been defined as a set of (sub)structural rules or structural alerts. In the current paper we constructed a PLS discriminant analysis QSAR model, based on non-empirical molecular descriptors, that is able to distinguish between class 1 and class 2 compounds. We also constructed a PLS regression analysis QSAR model, based upon the same set of molecular descriptors, that is capable of predicting the acute aquatic toxicity to fish for a combined set of class 1 and class 2 chemicals. Interestingly, the prime descriptor for both discrimination of class 1 and class 2 compounds and bringing them together in the toxicity prediction model is Q~-, which is a measure of the hydrogen bond acceptor capacity of a molecule.
机译:被视为水生污染物的大部分异种生物都可以被视为属于所谓的1类或基准毒性化合物。通常认为这些化合物通过一种或相同的机理起作用或可以被认为通过一种相同的机理起作用。第二类重要的水生污染物是由毒性稍强的2类或极性麻醉化合物形成的。这类化合物除其他外,由酚,苯胺和类似的弱极性物质组成,也可以认为是通过单一毒性机制起作用的。已经表明,对于两种化学物质,急性水生毒性都可以使用基于log K_(ow)的单参数定量结构-活性关系(QSAR)方程进行适当建模。此外,已经表明,对于log K_(ow)大于约2.7的化合物,两类之间以及因此两个关联的QSAR之间的区别被打破。显然,如果确实存在这样一个单独的机制,则更具体的作用方式在高log K_(ow)时收敛至基线毒性。因此,由于化合物的极性更强,这种所谓的“极性麻醉”是否确实是一种独特的作用模式还是对基线毒性机制的干扰尚待证实。 1类和2类化合物的化学结构域已定义为一组(子)结构规则或结构警报。在本文中,我们基于非经验分子描述符构建了PLS判别分析QSAR模型,该模型能够区分1类和2类化合物。我们还基于同一组分子描述符构建了PLS回归分析QSAR模型,该模型能够预测1类和2类化学物质组合对鱼类的急性水生毒性。有趣的是,用于区分1类和2类化合物并在毒性预测模型中将它们组合在一起的主要描述符是Q_-,它是分子氢键受体能力的量度。

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