Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma, USA.
Biophys J. 2010 Aug 4;99(3):924-32. doi: 10.1016/j.bpj.2010.05.009.
The stability and folding of proteins are modulated by energetically significant interactions in the denatured state that is in equilibrium with the native state. These interactions remain largely invisible to current experimental techniques, however, due to the sparse population and conformational heterogeneity of the denatured-state ensemble under folding conditions. Molecular dynamics simulations using physics-based force fields can in principle offer atomistic details of the denatured state. However, practical applications are plagued with the lack of rigorous means to validate microscopic information and deficiencies in force fields and solvent models. This study presents a method based on coupled titration and molecular dynamics sampling of the denatured state starting from the extended sequence under native conditions. The resulting denatured-state pK(a)s allow for the prediction of experimental observables such as pH- and mutation-induced stability changes. I show the capability and use of the method by investigating the electrostatic interactions in the denatured states of wild-type and K12M mutant of NTL9 protein. This study shows that the major errors in electrostatics can be identified by validating the titration properties of the fragment peptides derived from the sequence of the intact protein. Consistent with experimental evidence, our simulations show a significantly depressed pK(a) for Asp(8) in the denatured state of wild-type, which is due to a nonnative interaction between Asp(8) and Lys(12). Interestingly, the simulation also shows a nonnative interaction between Asp(8) and Glu(48) in the denatured state of the mutant. I believe the presented method is general and can be applied to extract and validate microscopic electrostatics of the entire folding energy landscape.
蛋白质的稳定性和折叠由变性状态下与天然状态相平衡的、具有重要能量意义的相互作用所调控。然而,由于在折叠条件下,变性态集合的稀疏种群和构象异质性,这些相互作用在很大程度上仍然无法被当前的实验技术所观察到。基于物理力场的分子动力学模拟原则上可以提供变性态的原子细节。然而,实际应用受到缺乏严格验证微观信息的手段、力场和溶剂模型的缺陷的困扰。本研究提出了一种从天然条件下的扩展序列开始,通过偶联滴定和分子动力学对变性态进行采样的方法。由此产生的变性态 pKa 可用于预测实验可观察到的稳定性变化,如 pH 和突变诱导的稳定性变化。通过研究 NTL9 蛋白野生型和 K12M 突变体的变性态中的静电相互作用,展示了该方法的能力和用途。本研究表明,通过验证来自完整蛋白质序列的片段肽的滴定性质,可以识别出静电学中的主要错误。与实验证据一致,我们的模拟显示野生型变性态中 Asp(8)的 pKa 显著降低,这是由于 Asp(8)和 Lys(12)之间的非天然相互作用所致。有趣的是,模拟还显示了突变体变性态中 Asp(8)和 Glu(48)之间的非天然相互作用。我相信所提出的方法是通用的,可以用于提取和验证整个折叠能量景观的微观静电学。