Vitalis Andreas, Wang Xiaoling, Pappu Rohit V
Department of Biomedical Engineering, Molecular Biophysics Program, and Center for Computational Biology, Washington University in St. Louis, 1 Brookings Drive, St. Louis, MO 63130, USA.
Biophys J. 2007 Sep 15;93(6):1923-37. doi: 10.1529/biophysj.107.110080. Epub 2007 May 25.
Intrinsically disordered proteins (IDPs) are unfolded under physiological conditions. Here we ask if archetypal IDPs in aqueous milieus are best described as swollen disordered coils in a good solvent or collapsed disordered globules in a poor solvent. To answer this question, we analyzed data from molecular simulations for a 20-residue polyglutamine peptide and concluded, in accord with experimental results, that water is a poor solvent for this system. The relevance of monomeric polyglutamine is twofold: It is an archetypal IDP sequence and its aggregation is associated with nine neurodegenerative diseases. The main advance in this work lies in our ability to make accurate assessments of solvent quality from analysis of simulations for a single, rather than multiple chain lengths. We achieved this through the proper design of simulations and analysis of order parameters that are used to describe conformational equilibria in polymer physics theories. Despite the preference for collapsed structures, we find that polyglutamine is disordered because a heterogeneous ensemble of conformations of equivalent compactness is populated at equilibrium. It is surprising that water is a poor solvent for polar polyglutamine and the question is: why? Our preliminary analysis suggests that intrabackbone interactions provide at least part of the driving force for the collapse of polyglutamine in water. We also show that dynamics for conversion between distinct conformations resemble structural relaxation in disordered, glassy systems, i.e., the energy landscape for monomeric polyglutamine is rugged. We end by discussing generalizations of our methods to quantitative studies of conformational equilibria of other low-complexity IDP sequences.
内在无序蛋白(IDP)在生理条件下是未折叠的。在此,我们探讨在水性环境中的典型IDP是更适合被描述为在良溶剂中膨胀的无序卷曲,还是在不良溶剂中折叠的无序球状体。为回答这个问题,我们分析了一个20个残基的聚谷氨酰胺肽的分子模拟数据,并与实验结果一致地得出结论,即水对该系统是不良溶剂。单体聚谷氨酰胺的相关性体现在两个方面:它是一个典型的IDP序列,其聚集与九种神经退行性疾病相关。这项工作的主要进展在于我们能够通过对单个而非多个链长的模拟分析来准确评估溶剂质量。我们通过适当设计模拟以及分析用于描述聚合物物理理论中构象平衡的序参量来实现这一点。尽管倾向于折叠结构,但我们发现聚谷氨酰胺是无序的,因为在平衡时存在具有等效紧凑性的构象的异质集合。令人惊讶的是,水对极性聚谷氨酰胺是不良溶剂,问题是:为什么?我们的初步分析表明,主链内相互作用至少为聚谷氨酰胺在水中的折叠提供了部分驱动力。我们还表明,不同构象之间转换的动力学类似于无序玻璃态系统中的结构弛豫,即单体聚谷氨酰胺的能量景观是崎岖不平的。我们最后讨论了将我们的方法推广到其他低复杂性IDP序列构象平衡定量研究的情况。