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Prediction of structure and function of G protein-coupled receptors

机译:G蛋白偶联受体的结构和功能预测

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G protein-coupled receptors (GPCRs) mediate our sense of vision, smell, taste, and pain. They are also involved in cell recognition and communication processes, and hence have emerged as a prominent superfamily for drug targets. Unfortunately, the atomic-level structure is available for only one GPCR (bovine rhodopsin), making it difficult to use structure-based methods to design drugs and mutation experiments. We have recently developed first principles methods (MembStruk and HierDock) for predicting structure of GPCRs, and for predicting the ligand binding sites and relative binding affinities. Comparing to the one case with structural data, bovine rhodopsin, we find good accuracy in both the structure of the protein and of the bound ligand. We report here the application of MembStruk and HierDock to β1-adrenergic receptor, endothelial differential gene 6, mouse and rat 17 olfactory receptors, and human sweet receptor. We find that the predicted structure of β1-adrenergic receptor leads to a binding site for epinephrine that agrees well with the mutation experiments. Similarly the predicted binding sites and affinities for endothelial differential gene 6, mouse and rat 17 olfactory receptors, and human sweet receptor are consistent with the available experimental data. These predicted structures and binding sites allow the design of mutation experiments to validate and improve the structure and function prediction methods. As these structures are validated they can be used as targets for the design of new receptor-selective antagonists or agonists for GPCRs.
机译:G蛋白偶联受体(GPCR)介导我们的视觉,嗅觉,味觉和疼痛感。它们也参与细胞识别和交流过程,因此已成为药物靶标的重要超家族。不幸的是,原子级结构仅可用于一种GPCR(牛视紫红质),这使得难以使用基于结构的方法来设计药物和突变实验。我们最近开发了用于预测GPCR结构,预测配体结合位点和相对结合亲和力的第一原理方法(MembStruk和HierDock)。与具有结构数据牛视紫红质的一种情况相比,我们发现蛋白质和结合的配体的结构均具有良好的准确性。我们在这里报告MembStruk和HierDock在β1-肾上腺素能受体,内皮分化基因6,小鼠和大鼠17嗅觉受体以及人类甜味受体中的应用。我们发现,β1-肾上腺素受体的预测结构导致肾上腺素的结合位点,与突变实验非常吻合。同样,预测的内皮分化基因6,小鼠和大鼠17嗅觉受体以及人类甜味受体的结合位点和亲和力与可用的实验数据一致。这些预测的结构和结合位点允许进行突变实验的设计,以验证和改进结构和功能的预测方法。通过验证这些结构,可以将它们用作设计GPCR的新受体选择性拮抗剂或激动剂的靶标。

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