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G蛋白偶联受体的统计序列分析:从熵、疏水性和体积的周期性角度看其结构与功能特征

Statistical sequence analyses of G-protein-coupled receptors: structural and functional characteristics viewed with periodicities of entropy, hydrophobicity, and volume.

作者信息

Imai Takashi, Fujita Norihisa

机构信息

Research Organization of Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, 525-8577, Japan.

出版信息

Proteins. 2004 Sep 1;56(4):650-60. doi: 10.1002/prot.20068.

Abstract

G-protein-coupled receptors (GPCRs) play a crucial role in signal transduction and receive a wide variety of ligands. GPCRs are a major target in drug design, as nearly 50% of all contemporary medicines act on GPCRs. GPCRs are membrane proteins possessing a common structural feature, seven transmembrane helices. In order to design an effective drug to act on a GPCR, knowledge of the three-dimensional (3D) structure of the target GPCR is indispensable. However, as GPCRs are membrane bound, their 3D structures are difficult to obtain. Thus we conducted statistical sequence analyses to find information about 3D structure and ligand binding using the receptors' primary sequences. We present statistical sequence analyses of 270 human GPCRs with regard to entropy (Shannon entropy in sequence alignment), hydrophobicity and volume, which are associated with the alpha-helical periodicity of the accessibility to the surrounding lipid. We found periodicity such that the phase changes once in the middle of each transmembrane region, both in the entropy plot and in the hydrophobicity plot. The phase shift in the entropy plot reflects the variety of ligands and the generality of the mechanism of signal transduction. The two periodic regions in the hydrophobicity plot indicate the regions facing the hydrophobic lipid chain and the polar phospholipid headgroup. We also found a simple periodicity in the plot of volume deviation, which suggests conservation of the stable structural packing among the transmembrane helices.

摘要

G蛋白偶联受体(GPCRs)在信号转导中起着关键作用,能接收多种配体。GPCRs是药物设计的主要靶点,因为几乎所有当代药物中有近50%作用于GPCRs。GPCRs是具有共同结构特征的膜蛋白,即七个跨膜螺旋。为了设计一种作用于GPCR的有效药物,了解目标GPCR的三维(3D)结构是必不可少的。然而,由于GPCRs是膜结合的,其3D结构很难获得。因此,我们进行了统计序列分析,以利用受体的一级序列找到有关3D结构和配体结合的信息。我们展示了对270种人类GPCRs在熵(序列比对中的香农熵)、疏水性和体积方面的统计序列分析,这些与周围脂质可及性的α-螺旋周期性相关。我们发现了周期性,即在熵图和疏水性图中,每个跨膜区域的中间相位都会发生一次变化。熵图中的相位变化反映了配体的多样性和信号转导机制的普遍性。疏水性图中的两个周期性区域表明了面向疏水脂质链和极性磷脂头部基团的区域。我们还在体积偏差图中发现了一种简单的周期性,这表明跨膜螺旋之间稳定结构堆积的保守性。

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