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Ligand-based in silico 3D-QSAR study of PPAR-γ agonists

机译:PPAR-γ激动剂基于配体的计算机3D-QSAR研究

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The peroxisome proliferator-activated receptor gamma (PPAR-γ) is member of a large family of ligand-activated nuclear transcription factors. The first compounds reported as high-affinity PPAR-γ agonists were a class of antidiabetic agents known as thiazolidinediones or “glitazones”. Quantitative structure activity relationship (QSAR) analyses used to understand the structural factors responsible for PPAR-γ agonistic activity of some thiazolidinedione derivatives. Several pharmacophore-based models indicated the importance of steric, hydrophobic, and hydrogen bond acceptor groups to agonistic activity. The 3D-QSAR analysis was carried out by PHASE program and a statistically reliable model with good predictive power (r 2 = 0.9702, q 2 = 0.8216) was achieved. The 3D-QSAR plots illustrated insights into the structure activity relationship of these compounds which may helps in the design and development of potent thiazolidinedione derivatives as antidiabetic agents.
机译:过氧化物酶体增殖物激活受体γ(PPAR-γ)是配体激活的核转录因子的一大家族。最早报道为高亲和力PPAR-γ激动剂的化合物是一类抗糖尿病药,称为噻唑烷二酮或“格列酮”。定量结构活性关系(QSAR)分析用于了解一些噻唑烷二酮衍生物的PPAR-γ激动活性的结构因素。几种基于药效团的模型表明,空间,疏水和氢键受体基团对激动活性很重要。通过PHASE程序进行了3D-QSAR分析,得到了具有良好预测能力(r 2 = 0.9702,q 2 = 0.8216)的统计可靠模型。 3D-QSAR图解说明了对这些化合物的结构活性关系的了解,这可能有助于设计和开发有效的噻唑烷二酮衍生物作为抗糖尿病药。

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    《Medicinal Chemistry Research 》 |2011年第7期| p.1005-1014| 共10页
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