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GPCR-I-TASSER: A Hybrid Approach to G Protein-Coupled Receptor Structure Modeling and the Application to the Human Genome

机译:GPCR-I-TASSER:G蛋白偶联受体结构建模的一种混合方法及其在人类基因组中的应用

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摘要

Experimental structure determination remains difficult for G protein-coupled receptors (GPCRs). We propose a new hybrid protocol to construct GPCR structure models that integrates experimental mutagenesis data with ab initio transmembrane (TM) helix assembly simulations. The method was tested on 24 known GPCRs where the ab initio TM-helix assembly procedure constructed the correct fold for 20 cases. When combined with weak homology and sparse mutagenesis restraints, the method generated correct folds for all the tested cases with an average Ca root-mean-square deviation 2.4 angstrom in the TM regions. The new hybrid protocol was applied to model all 1,026 GPCRs in the human genome, where 923 have a high confidence score and are expected to have correct folds; these contain many pharmaceutically important families with no previously solved structures, including Trace amine, Prostanoids, Releasing hormones, Melanocortins, Vasopressin, and Neuropeptide Y receptors. The results demonstrate new progress on genome-wide structure modeling of TM proteins.
机译:对于G蛋白偶联受体(GPCR),实验结构的确定仍然很困难。我们提出了一种新的混合协议来构建GPCR结构模型,该模型将实验诱变数据与从头算跨膜(TM)螺旋装配模拟相结合。该方法在24个已知的GPCR上进行了测试,其中从头算TM螺旋组装程序可构建20例正确的折叠。当与弱同源性和稀疏诱变限制相结合时,该方法为所有被测病例产生了正确的折叠倍数,在TM区域中平均Ca均方根偏差为2.4埃。新的杂交方案已应用于人类基因组中所有1,026个GPCR的建模,其中923个具有较高的置信度得分,并有望具有正确的折叠倍数。这些药物包含许多重要的药学家族,没有以前解析的结构,包括痕量胺,前列腺素,释放激素,黑皮质素,血管加压素和神经肽Y受体。结果证明了TM蛋白全基因组结构建模的新进展。

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