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Computational modeling of the olfactory receptor Olfr73 suggests a molecular basis for low potency of olfactory receptor-activating compounds

机译:嗅觉受体Olfr73的计算模型表明嗅觉受体激活化合物低效的分子基础

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摘要

The mammalian olfactory system uses hundreds of specialized G-protein-coupled olfactory receptors (ORs) to discriminate a nearly unlimited number of odorants. Cognate agonists of most ORs have not yet been identified and potential non-olfactory processes mediated by ORs are unknown. Here, we used molecular modeling, fingerprint interaction analysis and molecular dynamics simulations to show that the binding pocket of the prototypical olfactory receptor Olfr73 is smaller, but more flexible, than binding pockets of typical non-olfactory G-protein-coupled receptors. We extended our modeling to virtual screening of a library of 1.6 million compounds against Olfr73. Our screen predicted 25 Olfr73 agonists beyond traditional odorants, of which 17 compounds, some with therapeutic potential, were validated in cell-based assays. Our modeling suggests a molecular basis for reduced interaction contacts between an odorant and its OR and thus the typical low potency of OR-activating compounds. These results provide a proof-of-principle for identifying novel therapeutic OR agonists.
机译:哺乳动物的嗅觉系统使用数百种专门的G蛋白偶联嗅觉受体(OR)来区分几乎无限数量的气味剂。尚未鉴定出大多数OR的同源激动剂,并且还不清楚OR介导的潜在非嗅觉过程。在这里,我们使用分子建模,指纹相互作用分析和分子动力学模拟来显示,原型嗅觉受体Olfr73的结合口袋比典型的非嗅觉G蛋白偶联受体的结合口袋小,但更具弹性。我们将模型扩展到针对Olfr73的160万个化合物库的虚拟筛选。我们的屏幕预测了25种Olfr73激动剂超出了传统的增香剂,其中17种化合物(其中一些具有治疗潜力)在基于细胞的测定中得到了验证。我们的模型表明了减少气味剂与其OR之间相互作用的分子基础,因此降低了OR活化化合物的典型效力。这些结果为鉴定新型治疗性OR激动剂提供了原理证明。

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