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首页> 外文期刊>European Journal of Medicinal Chemistry: Chimie Therapeutique >GETAWAY descriptors to predicting A(2A) adenosine receptors agonists.
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GETAWAY descriptors to predicting A(2A) adenosine receptors agonists.

机译:GETAWAY描述符预测A(2A)腺苷受体激动剂。

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摘要

The GEometry, Topology and Atom-Weights AssemblY approach has been applied to the study of the A(2A) adenosine receptors agonist effect of 29 adenosine analogues: N(6)-arylcarbamoyl, 2-arylalkynyl-N(6)-arylcarbamoyl, and N(6)-carboxamido derivatives. A model able to describe more than 77% of the variance in the experimental activity was developed with the use of the mentioned approach. In contrast, no one of four different approaches, including the use of Topological, Galvez Topological Charges indexes, Geometrical and WHIM descriptors were able to explain more than 70% of the variance in the mentioned property with the same number of variables in the equation.
机译:的几何,拓扑结构和原子重量大会方法已应用于29种腺苷类似物的A(2A)腺苷受体激动剂的研究:N(6)-芳基氨基甲酰基,2-芳基炔基-N(6)-芳基氨基甲酰基和N(6)-羧酰胺衍生物。使用上述方法,开发了一种能够描述超过77%的实验活动差异的模型。相比之下,四种不同的方法中的任何一种,包括使用拓扑,Galvez拓扑电荷索引,几何和WHIM描述符,都无法在方程中使用相同数量的变量来解释上述属性中超过70%的方差。

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