量子描述器用于预测和理解迈克尔接收器弹头的结构-活动关系
Ruibin Liu1, Erik A Vázquez-Montelongo1, Shuhua Ma2
1Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, Maryland 21201, United States.
Journal of chemical information and modeling
|July 18, 2023
概括
电子属性,如来自密度函数理论 (DFT) 计算的卡巴尼形成自由能量,可以预测化学弹头的反应性. 这项研究证实了它们对向共价药物发现的有用性,并澄清了特定替代物的作用.
科学领域:
- 计算化学的计算化学
- 药用化学 医学化学
- 药物发现 药物发现 药物发现
背景情况:
- 化学弹头反应性的预测建模对于加速向的共价药物发现至关重要.
- 密度函数理论 (DFT) 对电子性质的计算,如卡巴尼安形成的自由能量,已被提出作为迈克尔受体反应的预测因素,但缺乏共识.
研究的目的:
- 重新检查低成本电子特性是否可以预测醇-迈克尔反应的反应障碍.
- 为了澄清β-二甲基胺甲基 (DMAM) 替代对烯胺的活性在共药物设计中的影响.
主要方法:
- 包括模型弹头在内的各种激活烯的醇-迈克尔反应的概况.
- 使用密度函数理论 (DFT) 来计算基本状态电子属性.
- 分析与carbanion中间体和仅反应物的特性相关的电子性质.
主要成果:
- 与carbanion中间体相关的电子特性,如Cβ电荷的变化,强烈预测反应性.
- 电友性指数和Cβ电荷显示出强烈的等级相关性,表明它们作为量子描述符的实用性.
- β-DMAM替代增强了烯胺的反应性,通过促进Cα的电荷积累,而β-trimethylaminomethyl替代的效果因硬质阻碍而减弱.
结论:
- 低成本的电子特性是针对性共价抑制 (TCI) 设计的化学弹头反应性的有效预测因素.
- β-DMAM替代对烯胺活性产生积极影响,为合理的药物设计提供了洞察力.
- 对烯胺反应性的协调观点有助于预测建模和理解结构-活性关系.
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