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过氧化物酶体增殖物激活受体靶向家族概况:基于蛋白质结合位点分析的配体选择性化学计量学方法

Peroxisome proliferator-activated receptors target family landscape: a chemometrical approach to ligand selectivity based on protein binding site analysis.

作者信息

Pirard Bernard

机构信息

Aventis Pharma Deutschland GmbH, DI&A Chemistry, Computational Chemistry, D-65926 Frankfurt am Main, Germany.

出版信息

J Comput Aided Mol Des. 2003 Nov;17(11):785-96. doi: 10.1023/b:jcam.0000017498.74580.3d.

Abstract

The Peroxisome Proliferator-Activated Receptors (PPARs) are nuclear receptors which over the last couple of years have been the focus of considerable research efforts aiming to identify compounds with well-defined selectivity profiles for the treatment of metabolic diseases. The ligand binding domains (LBD) of the three known PPAR subtypes exhibit between 60 and 70% sequence identity. To gain insight into the structural determinants of selectivity for the PPAR subtypes, a set of 13 crystal structures of PPAR LBD were classified, using the GRID/CPCA approach. As a result, nearly all of the crystal structures of each different PPAR subtype were found clustered in different regions of the CPCA score plots, and hydrophobic as well as steric interactions were identified as the major determinants of PPAR subtypes selectivity. Furthermore, interpretation of the GRID/CPCA model in structural terms led to the identification of LBD regions which could be targeted to improve the selectivity for a given PPAR subtype. Our findings are consistent with published structure-activity relationships for PPAR ligands as well as with site-directed mutagenesis results.

摘要

过氧化物酶体增殖物激活受体(PPARs)是核受体,在过去几年中一直是大量研究工作的重点,这些研究旨在鉴定具有明确选择性谱的化合物以治疗代谢性疾病。三种已知PPAR亚型的配体结合域(LBD)表现出60%至70%的序列同一性。为了深入了解PPAR亚型选择性的结构决定因素,使用GRID/CPCA方法对一组13个PPAR LBD的晶体结构进行了分类。结果发现,几乎每个不同PPAR亚型的所有晶体结构都聚集在CPCA评分图的不同区域,疏水相互作用和空间相互作用被确定为PPAR亚型选择性的主要决定因素。此外,从结构角度对GRID/CPCA模型的解释导致确定了可以靶向的LBD区域,以提高对给定PPAR亚型的选择性。我们的发现与已发表的PPAR配体构效关系以及定点诱变结果一致。

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