多环芳烃的致癌活性与其分子结构之间关系的另一种模型

V. Mukhomorov
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引用次数: 1

摘要

提出了一种将多环芳烃的致癌活性与其分子结构联系起来的新模型。该模型不使用分子局部区域存在致癌活性的表示。分子描述符通常决定分子的电子和信息性质。用凝聚态的物理表示和信息论的方法来确定分子描述符。要评估一种化合物的致癌性,知道它的总配方就足够了。分子描述符与多环芳烃的致癌活性之间存在统计学上显著的关系。考虑了限制分子致癌活性的分子性质。该模型使对多环芳烃的致癌活性进行快速评价成为可能。要评估一种化合物的致癌性,知道它的总配方就足够了。分析了分子描述符与化合物的物理性质(分子的第一电离势、亲和能大小、最密集电子跃迁能、对分子间相互作用值、电子给体性质)之间的相互关系。电子和信息描述符源自各种初始原理。然而,可以确定的是,描述符是密切相关的。我们正在演示所提出的模型和普尔曼模型的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AN ALTERNATIVE MODEL OF THE RELATIONSHIP BETWEEN THE CARCINOGENIC ACTIVITY OF POLYCYCLIC AROMATIC HYDROCARBONS AND THEIR MOLECULAR STRUCTURE
A new model is proposed that connects the carcinogenic activity of polycyclic aromatic hydrocarbons with their molecular structure. The model does not use the representation of the molecule local regions existence responsible for carcinogenic activity. Molecular descriptors determine the electronic and information properties of molecules in general. Representations of the physics of condensed states and methods of information theory are used to determine molecular descriptors. To assess the carcinogenicity of a chemical compound, it is sufficient to know its gross formula. A statistically significant relationship between molecular descriptors and carcinogenic activity of polycyclic aromatic hydrocarbons has been established. The properties of molecules that limit the carcinogenic activity of molecules are considered. The model makes it possible to perform an express assessment of the carcinogenic activity of polycyclic aromatic hydrocarbons. To assess the carcinogenicity of a chemical compound, it is sufficient to know its gross formula. It is analyzed the interrelation between molecular descriptors and the physical properties (the first ionization potential of the molecule, the magnitude of the affinity energy, the energy of the most intensive electronic transition, the value of the pair intermolecular interaction, the electron-donor properties) of chemical compounds. Electronic and information descriptors are derived from various initial principles. However, it is established that the descriptors are closely related. We are demonstrating a comparison of the proposed model and the Pullman’s model.
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