Meier Sebastian, Blackledge Martin, Grzesiek Stephan
Carlsberg Laboratory, Gamle Carlsberg Vej 10, 2500 Valby, Denmark.
J Chem Phys. 2008 Feb 7;128(5):052204. doi: 10.1063/1.2838167.
How the information content of an unfolded polypeptide sequence directs a protein towards a well-formed three-dimensional structure during protein folding remains one of the fundamental questions in structural biology. Unfolded proteins have recently attracted further interest due to their surprising prevalence in the cellular milieu, where they fulfill not only central regulatory functions, but also are implicated in diseases involving protein aggregation. The understanding of both the protein folding transition and these often natively unfolded proteins hinges on a more detailed experimental characterization of the conformations and conformational transitions in the unfolded state. This description is intrinsically very difficult due to the very large size of the conformational space. In principle, solution NMR can monitor unfolded polypeptide conformations and their transitions at atomic resolution. However, traditional NMR parameters such as chemical shifts, J couplings, and nuclear Overhauser enhancements yield only rather limited and often qualitative descriptions. This situation has changed in recent years by the introduction of residual dipolar couplings and paramagnetic relaxation enhancements, which yield a high number of well-defined, quantitative parameters reporting on the averages of local conformations and long-range interactions even under strongly denaturing conditions. This information has been used to obtain plausible all-atom models of the unfolded state at increasing accuracy. Currently, the best working model is the coil model, which derives amino acid specific local conformations from the distribution of amino acid torsion angles in the nonsecondary structure conformations of the protein data bank. Deviations from the predictions of such models can often be interpreted as increased order resulting from long-range contacts within the unfolded ensemble.
在蛋白质折叠过程中,未折叠多肽序列的信息内容如何引导蛋白质形成结构良好的三维结构,仍然是结构生物学中的基本问题之一。未折叠蛋白最近因其在细胞环境中惊人的普遍性而引起了更多关注,在细胞环境中,它们不仅发挥着核心调节功能,还与涉及蛋白质聚集的疾病有关。对蛋白质折叠转变以及这些通常天然未折叠的蛋白质的理解,取决于对未折叠状态下构象和构象转变的更详细实验表征。由于构象空间非常大,这种描述本质上非常困难。原则上,溶液核磁共振(NMR)可以在原子分辨率下监测未折叠多肽的构象及其转变。然而,传统的NMR参数,如化学位移、J耦合和核Overhauser增强,只能提供相当有限且往往定性的描述。近年来,由于引入了剩余偶极耦合和顺磁弛豫增强,这种情况发生了变化,即使在强变性条件下,这些方法也能产生大量定义明确的定量参数,用于报告局部构象和长程相互作用的平均值。这些信息已被用于以越来越高的精度获得未折叠状态的合理全原子模型。目前,最佳的工作模型是卷曲模型,它从蛋白质数据库的非二级结构构象中氨基酸扭转角的分布推导出氨基酸特异性局部构象。与这些模型预测的偏差通常可以解释为未折叠集合内长程接触导致的有序度增加。