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DFT Chemical Reactivity Driven by Biological Activity: Applications for the Toxicological Fate of Chlorinated PAHs

机译:生物活性驱动的DFT化学反应性:氯化PAHs毒理学命运的应用

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The logistic kinetics model of quantitative reactivity-activity relationships is presented as a modern tool for modeling chemical-biological interactions using catalytic progress curves for the chemical ligand species that bind biological cell receptors. Chemical reactivity principles of electronegativity and chemical hardness, their necessity, the associated scenario of chemical bonding, the critical points in ab initio quantum chemical computations of the molecular structures, and the QSAR-OECD principles are reviewed. Illustrative applications are described for chlorinated polycyclic aromatic hydrocarbons (Cl-PAHs) bound to aryl hydrocarbon receptors (AhRs) in human breast cancer MCF-7 cells, Pimephales promelas and rats by recognizing key features of Biological Activity driving Chemical Reactivity (BioAct-ChemReact) interaction mechanisms. The specific feedback behavior of biological sites against chemical attacks unveil the manner in which chemical reactivity indices and principles of electronegativity and chemical hardness act successively or synergistically (in chemical power and electrophilicity) to regulate chemical reactivity hierarchies in ligand-receptor mechanisms that reflect observed (or in silico computed) biological or toxicological effects.
机译:定量反应性-活性关系的逻辑动力学模型是一种现代工具,可使用催化过程曲线对结合生物细胞受体的化学配体物种进行化学-生物相互作用建模。审查了电负性和化学硬度的化学反应原理,其必要性,相关的化学键合方案,分子结构从头进行量子化学计算的临界点以及QSAR-OECD原理。通过识别生物活性驱动化学反应的关键特征,描述了在人乳腺癌MCF-7细胞,Pimephales promelas和大鼠中与芳烃受体(AhRs)结合的氯化多环芳烃(Cl-PAHs)的示例性应用。互动机制。生物位点针对化学攻击的特定反馈行为揭示了化学反应指数以及电负性和化学硬度原理(在化学能和亲电性中)相继或协同作用以调节反映所观察到的配体-受体机制的化学反应层级的方式。或计算机计算)的生物学或毒理学影响。

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