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通过固态核磁共振受限模拟研究膜中SERCA调节蛋白的结构动力学和构象平衡。

Structural dynamics and conformational equilibria of SERCA regulatory proteins in membranes by solid-state NMR restrained simulations.

作者信息

De Simone Alfonso, Mote Kaustubh R, Veglia Gianluigi

机构信息

Department of Life Sciences, Imperial College London, London, United Kingdom.

Department of Chemistry, University of Minnesota, Minneapolis, Minnesota.

出版信息

Biophys J. 2014 Jun 17;106(12):2566-76. doi: 10.1016/j.bpj.2014.03.026.

Abstract

Solid-state NMR spectroscopy is emerging as a powerful approach to determine structure, topology, and conformational dynamics of membrane proteins at the atomic level. Conformational dynamics are often inferred and quantified from the motional averaging of the NMR parameters. However, the nature of these motions is difficult to envision based only on spectroscopic data. Here, we utilized restrained molecular dynamics simulations to probe the structural dynamics, topology and conformational transitions of regulatory membrane proteins of the calcium ATPase SERCA, namely sarcolipin and phospholamban, in explicit lipid bilayers. Specifically, we employed oriented solid-state NMR data, such as dipolar couplings and chemical shift anisotropy measured in lipid bicelles, to refine the conformational ensemble of these proteins in lipid membranes. The samplings accurately reproduced the orientations of transmembrane helices and showed a significant degree of convergence with all of the NMR parameters. Unlike the unrestrained simulations, the resulting sarcolipin structures are in agreement with distances and angles for hydrogen bonds in ideal helices. In the case of phospholamban, the restrained ensemble sampled the conformational interconversion between T (helical) and R (unfolded) states for the cytoplasmic region that could not be observed using standard structural refinements with the same experimental data set. This study underscores the importance of implementing NMR data in molecular dynamics protocols to better describe the conformational landscapes of membrane proteins embedded in realistic lipid membranes.

摘要

固态核磁共振光谱正成为一种在原子水平上确定膜蛋白结构、拓扑结构和构象动力学的强大方法。构象动力学通常是根据核磁共振参数的运动平均来推断和量化的。然而,仅基于光谱数据很难设想这些运动的本质。在这里,我们利用受限分子动力学模拟来探究钙ATP酶SERCA的调节性膜蛋白,即肌浆球蛋白和受磷蛋白,在明确的脂质双层中的结构动力学、拓扑结构和构象转变。具体而言,我们采用了取向固态核磁共振数据,如在脂质双分子层中测量的偶极耦合和化学位移各向异性,来优化这些蛋白在脂质膜中的构象集合。采样准确地再现了跨膜螺旋的取向,并与所有核磁共振参数显示出高度的一致性。与无约束模拟不同,所得的肌浆球蛋白结构与理想螺旋中氢键的距离和角度一致。在受磷蛋白的情况下,受限集合采样了细胞质区域中T(螺旋)态和R(未折叠)态之间的构象相互转换,而使用相同实验数据集的标准结构优化方法无法观察到这种转换。这项研究强调了在分子动力学协议中应用核磁共振数据以更好地描述嵌入实际脂质膜中的膜蛋白构象景观的重要性。

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