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Peroxisome Proliferator-Activated Receptors target family landscape: A chemometrical approach to ligand selectivity based on protein binding site analysis

机译:过氧化物酶体增殖物激活受体靶向家庭景观:基于蛋白质结合位点分析的化学计量学方法对配体的选择性

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摘要

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. [References: 52]
机译:过氧化物酶体增殖物激活受体(PPAR)是核受体,在最近几年中一直是大量研究工作的重点,旨在鉴定具有明确定义的选择性特征的化合物来治疗代谢性疾病。三种已知的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PPAR LBD的13个晶体结构进行了分类。结果,几乎所有每种不同PPAR亚型的晶体结构都聚集在CPCA分数图的不同区域,疏水性和空间相互作用被认为是PPAR亚型选择性的主要决定因素。此外,从结构上解释GRID / CPCA模型可导致鉴定LBD区域,该区域可用于改善对给定PPAR亚型的选择性。我们的发现与公布的PPAR配体的结构活性关系以及定点诱变结果一致。 [参考:52]

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