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Discovery of novel PPAR ligands by a virtual screening approach based on pharmacophore modeling, 3D shape, and electrostatic similarity screening

机译:通过基于药效团建模,3D形状和静电相似性筛选的虚拟筛选方法发现新型PPAR配体

摘要

Peroxisome proliferator-activated receptors (PPARs) are important targets for drugs used in the treatment of atherosclerosis, dyslipidaemia, obesity, type 2 diabetes, and other diseases caused by abnormal regulation of the glucose and lipid metabolism. We applied a virtual screening workflow based on a combination of pharmacophore modeling with 3D shape and electrostatic similarity screening techniques to discover novel scaffolds for PPAR ligands. From the resulting 10 virtual screening hits, five tested positive in human PPAR ligand-binding domain (hPPAR-LBD) transactivation assays and showed affinities for PPAR in a competitive binding assay. Compounds 5, 7, and 8 were identified as PPAR-alpha agonists, whereas compounds 2 and 9 showed agonistic activity for hPPAR-gamma. Moreover, compound 9 was identified as a PPAR-delta antagonist. These results demonstrate that our virtual screening protocol is able to enrich novel scaffolds for PPAR ligands that could be useful for drug development in the area of atherosclerosis, dyslipidaemia, and type 2 diabetes.
机译:过氧化物酶体增殖物激活受体(PPAR)是用于治疗动脉粥样硬化,血脂异常,肥胖,2型糖尿病和其他由于葡萄糖和脂质代谢异常调节而引起的疾病的重要靶标。我们应用了基于药效团建模与3D形状和静电相似性筛选技术相结合的虚拟筛选工作流程,以发现PPAR配体的新型支架。从产生的10个虚拟筛选结果中,有5个在人PPAR配体结合域(hPPAR-LBD)反式激活检测中呈阳性,并在竞争性结合检测中显示了对PPAR的亲和力。化合物5、7和8被确定为PPAR-α激动剂,而化合物2和9对hPPAR-γ表现出激动活性。此外,化合物9被鉴定为PPAR-δ拮抗剂。这些结果表明,我们的虚拟筛选方案能够丰富PPAR配体的新型支架,这些支架可用于动脉粥样硬化,血脂异常和2型糖尿病领域的药物开发。

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