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通过分子建模和化学计量学进行药效团识别:以HMG-CoA还原酶抑制剂为例

Pharmacophore identification by molecular modeling and chemometrics: the case of HMG-CoA reductase inhibitors.

作者信息

Cosentino U, Moro G, Pitea D, Scolastico S, Todeschini R, Scolastico C

机构信息

Dipartimento di Chimica Fisica ed Elettrochimica, Università degli Studi, Milan, Italy.

出版信息

J Comput Aided Mol Des. 1992 Feb;6(1):47-60. doi: 10.1007/BF00124386.

Abstract

A methodology based on molecular modeling and chemometrics is applied to identify the geometrical pharmacophore and the stereoelectronic requirements for the activity in a series of inhibitors of 3-hydroxy 3-methylglutaryl coenzyme A (HMG-CoA) reductase, an enzyme involved in cholesterol biosynthesis. These inhibitors present two common structural features - a 3,5-dihydroxy hepatanoic acid which mimics the active portion of the natural substrate HMG-CoA and a lipophilic region which carries both polar and bulky groups. A total of 432 minimum energy conformations of 11 homologous compounds showing different levels of biological activity are calculated by the molecular mechanics MM2 method. Five atoms are selected as representatives of the relevant fragments of these compounds and three interatomic distances, selected among 10 by means of a Principal Component Analysis (PCA), are used to describe the three-dimensional disposition of these atoms. A cluster analysis procedure, performed on the whole set of conformations described by these three distances, allows the selection of one cluster whose centroid represents a geometrical model for the HMG-CoA reductase pharmacophore and the conformations included are candidates as binding conformations. To obtain a refinement of the geometrical model and to have a better insight into the requirements for the activity of these inhibitors, the Molecular Electrostatic Potential (MEP) distributions are determined by the MNDO semiempirical method.

摘要

一种基于分子建模和化学计量学的方法被应用于确定一系列3-羟基-3-甲基戊二酰辅酶A(HMG-CoA)还原酶抑制剂活性的几何药效团和立体电子要求,该酶参与胆固醇生物合成。这些抑制剂呈现出两个共同的结构特征——一个模拟天然底物HMG-CoA活性部分的3,5-二羟基己酸和一个带有极性和庞大基团的亲脂区域。通过分子力学MM2方法计算了11种具有不同生物活性水平的同源化合物的总共432个最低能量构象。选择五个原子作为这些化合物相关片段的代表,并通过主成分分析(PCA)从10个原子间距离中选择三个,用于描述这些原子的三维排列。对由这三个距离描述的整个构象集进行聚类分析程序,允许选择一个簇,其质心代表HMG-CoA还原酶药效团的几何模型,并且所包含的构象作为结合构象的候选者。为了获得几何模型的优化并更好地洞察这些抑制剂活性的要求,通过MNDO半经验方法确定分子静电势(MEP)分布。

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