Molecular Modelling and Pharmacoinformatics Lab, Department of Pharmaceutical Chemistry, ISF College of Pharmacy, Moga, India.
J Enzyme Inhib Med Chem. 2013 Jun;28(3):515-22. doi: 10.3109/14756366.2011.654111. Epub 2012 Feb 5.
The glutaminyl cyclase inhibitory activity of a series of imidazoles has been analyzed through combinatorial protocol in multiple linear regressions (CP-MLR) and partial least square using different topological and structural descriptors. The QC activity was found to be correlated with 2D-autocorrelation (2DAUTO) and atom centered fragments (ACF) descriptors. The descriptor from 2DAUTO class showed that molecular structure frames of one, six and seven path length associated with atomic van der Waals volumes and polarizability hold scope for modulating QC inhibitory activity. The ACF descriptors suggested that the unsubstituted alkyl fragments and methyl substituted imidazole ring are favorable, while unsaturation in the same and C=N-C≡N are unfavorable for activity. The molar refractivity (MR) is conducive for activity. The descriptors identified in the study collectively highlight the significance of molecular volume and polarizability to the QC inhibitory activity of imidazoles. The models are statistically significant and showed good predictivity.
通过组合协议中的多元线性回归(CP-MLR)和偏最小二乘法,分析了一系列咪唑类化合物的谷氨酰胺环化酶抑制活性,使用了不同的拓扑和结构描述符。QC 活性与二维自相关(2DAUTO)和基于原子的片段(ACF)描述符相关。2DAUTO 类别的描述符表明,与原子范德华体积和极化率相关的一个、六个和七个路径长度的分子结构框架为调节 QC 抑制活性提供了可能。ACF 描述符表明,未取代的烷基片段和甲基取代的咪唑环是有利的,而同一位置的不饱和以及 C=N-C≡N 是不利的。摩尔折射度(MR)有利于活性。研究中确定的描述符共同强调了分子体积和极化率对咪唑类化合物谷氨酰胺环化酶抑制活性的重要性。模型在统计学上是显著的,并显示出良好的预测能力。