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探索利莫那班类似物和非环状CB1拮抗剂的结合特性:对接研究和定量构效关系分析。

Exploring the binding features of rimonabant analogues and acyclic CB1 antagonists: docking studies and QSAR analysis.

作者信息

Cichero Elena, Menozzi Giulia, Spallarossa Andrea, Mosti Luisa, Fossa Paola

机构信息

Dipartimento di Scienze Farmaceutiche, Università degli Studi di Genova, Genova, Italy.

出版信息

J Mol Model. 2008 Dec;14(12):1131-45. doi: 10.1007/s00894-008-0356-2. Epub 2008 Aug 12.

Abstract

In order to elucidate the structural requirements for human CB(1) receptor antagonism, 78 antagonists belonging to five different chemical classes were selected from the literature and docked into the receptor binding site, built by homology modeling techniques. To further explore the structure-activity relationships within the considered chemical classes, a pharmacophore model and a QSAR analysis were developed. In a first step five alignments, one for each group of compounds were generated. All of them were then submitted to a MOE pharmacophore search in order to obtain a final pharmacophore model representative of the whole dataset which was used to elaborate the following 3D-QSAR analysis, by means of the CoMFA methodology. The results of these investigations are expected to be useful in the process of design and development of new potent CB(1) antagonists.

摘要

为了阐明人CB(1)受体拮抗作用的结构要求,从文献中选择了属于五个不同化学类别的78种拮抗剂,并将其对接至通过同源建模技术构建的受体结合位点。为了进一步探索所考虑化学类别中的构效关系,开发了药效团模型和定量构效关系(QSAR)分析。第一步,针对每组化合物生成五个比对。然后将所有比对提交至MOE药效团搜索,以获得代表整个数据集的最终药效团模型,该模型用于通过比较分子场分析(CoMFA)方法进行后续的三维定量构效关系(3D-QSAR)分析。这些研究结果有望在新型强效CB(1)拮抗剂的设计和开发过程中发挥作用。

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