Protein Dynamics and Flexibility, Institut de Biologie Structurale Jean-Pierre Ebel, CEA, CNRS, UJF UMR 5075, 41 Rue Jules Horowitz, Grenoble 38027, France.
J Am Chem Soc. 2009 Dec 16;131(49):17908-18. doi: 10.1021/ja9069024.
An atomic resolution characterization of the structural properties of unfolded proteins that explicitly invokes the highly dynamic nature of the unfolded state will be extremely important for the development of a quantitative understanding of the thermodynamic basis of protein folding and stability. Here we develop a novel approach using residual dipolar couplings (RDCs) from unfolded proteins to determine conformational behavior on an amino acid specific basis. Conformational sampling is described in terms of ensembles of structures selected from a large pool of conformers. We test this approach, using extensive simulation, to determine how well the fitting of RDCs to reduced conformational ensembles containing few copies of the molecule can correctly reproduce the backbone conformational behavior of the protein. Having established approaches that allow accurate mapping of backbone dihedral angle conformational space from RDCs, we apply these methods to obtain an amino acid specific description of ubiquitin denatured in 8 M urea at pH 2.5. Cross-validation of data not employed in the fit verifies that an ensemble size of 200 structures is appropriate to characterize the highly fluctuating backbone. This approach allows us to identify local conformational sampling properties of urea-unfolded ubiquitin, which shows that the backbone sampling of certain types of charged or polar amino acids, in particular threonine, glutamic acid, and arginine, is affected more strongly by urea binding than amino acids with hydrophobic side chains. In general, the approach presented here establishes robust procedures for the study of all denatured and intrinsically disordered states.
对未折叠蛋白质的结构特性进行原子分辨率的描述,明确调用未折叠状态的高度动态特性,对于发展对蛋白质折叠和稳定性的热力学基础的定量理解将是极其重要的。在这里,我们使用来自未折叠蛋白质的残基偶极耦合(RDC)开发了一种新的方法,以确定基于氨基酸的构象行为。构象采样是根据从大量构象中选择的结构集合来描述的。我们使用广泛的模拟来测试这种方法,以确定拟合 RDC 到包含分子少量副本的简化构象集合的程度如何正确再现蛋白质的骨架构象行为。在建立了允许从 RDC 准确映射骨架二面角构象空间的方法之后,我们应用这些方法获得了在 pH 2.5 的 8 M 脲变性的泛素的氨基酸特异性描述。不在拟合中使用的数据的交叉验证验证了 200 个结构的集合大小适合表征高度波动的骨架。这种方法使我们能够识别脲变性泛素的局部构象采样特性,表明某些类型带电荷或极性氨基酸,特别是苏氨酸、谷氨酸和精氨酸,的骨架采样受脲结合的影响比具有疏水性侧链的氨基酸更强。总的来说,这里提出的方法为所有变性和固有无序状态的研究建立了稳健的程序。