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3D-QSAR CoMFA and CoMSIA studies on a set of diverse α1a-adrenergic receptor antagonists

机译:3D-QSAR CoMFA和CoMSIA研究一组不同的α 1a -肾上腺素能受体拮抗剂

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The α-adrenergic receptors (α-ARs) modulate a number of intracellular processes and among these α1a-adrenergic receptors play an important role in the regulation of physiological processes related to cardiovascular system. In view of its therapeutic potential, comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) studies were performed on a set of diverse α-AR antagonists to understand the structural factors affecting their antagonistic activity where both CoMFA (q train2 = 0.709, r train2 = 0.962, and r predictive2 = 0.629) and CoMSIA (q train2 = 0.648, r train2 = 0.949, and r predictive2 = 0.656) models gave statistical significant results. The generated CoMFA and CoMSIA models suggest that steric, electrostatic and hydrophobic interactions play an important role in describing the variation in antagonistic activity. Therefore, the models may be useful in the identification and optimization of novel scaffolds with potent α1a-adrenergic receptor antagonistic activity.
机译:α-肾上腺素能受体(α-ARs)调节许多细胞内过程,而这些α 1a -肾上腺素能受体在调节与心血管系统有关的生理过程中起重要作用。考虑到其治疗潜力,我们对一组不同的α-AR拮抗剂进行了比较分子场分析(CoMFA)和比较分子相似性指标分析(CoMSIA)研究,以了解影响其拮抗活性的结构因素,其中两个CoMFA(q < sub> train 2 = 0.709,r train 2 = 0.962,r 预测性 2 = 0.629)和CoMSIA(q train 2 = 0.648,r train 2 = 0.949和r predictive 2 = 0.656)模型得出的统计显着性结果。生成的CoMFA和CoMSIA模型表明,空间,静电和疏水相互作用在描述拮抗活性的变化中起着重要作用。因此,该模型可用于识别和优化具有强力α 1a -肾上腺素能受体拮抗作用的新型支架。

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    《Medicinal Chemistry Research 》 |2011年第9期| p.1455-1464| 共10页
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