Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.
Biophysics Graduate Program, The Ohio State University, Columbus, Ohio 43210, United States.
J Chem Theory Comput. 2021 Apr 13;17(4):2374-2382. doi: 10.1021/acs.jctc.1c00086. Epub 2021 Mar 22.
The transient interactions of proteins and other molecules with much larger structures, such as synthetic or biological nanoparticles, lead to certain types of enhanced nuclear magnetic resonance (NMR) spin relaxation effects, which can be accurately measured by multidimensional solution NMR techniques. These relaxation effects provide new information about the nanostructures and the protein, their interactions, internal dynamics, and associated kinetic and thermodynamic parameters, such as exchange rates and populations. Although theoretical treatments exist that cover either the fast or slow exchange limits, a theoretical treatment that applies to all practically relevant exchange processes is still missing. A unified theoretical framework is presented for this purpose based on a stochastic Liouville equation (SLE). It covers nuclear spin dynamics, overall rotational diffusion of both the protein and the nanostructure, the exchange process between a free state and a bound state, and internal protein dynamics. Although the numerical implementation of the SLE typically involves large matrices, it is shown here that it is computationally still tractable for situations relevant in practice. Application of the theory demonstrates how transverse relaxation is substantially impacted by the kinetics of binding on a wide range of exchange timescales. It is further shown that when exchange occurs on the appropriate timescale, transverse relaxation is able to report on internal dynamics far slower than observable by traditional transverse relaxation experiments. The SLE will allow the realistic and quantitative interpretation of experimental NMR data reporting about transient protein-nanoparticle interactions, thereby providing a powerful tool for the characterization of protein dynamics modes on a vast range of timescales including motions that may be functionally relevant.
蛋白质等分子与较大结构(如合成或生物纳米颗粒)的瞬时相互作用会导致某些类型的增强磁共振(NMR)自旋弛豫效应,这些效应可以通过多维溶液 NMR 技术准确测量。这些弛豫效应提供了有关纳米结构和蛋白质、它们的相互作用、内部动力学以及相关的动力学和热力学参数(如交换速率和种群)的新信息。尽管存在涵盖快速或缓慢交换极限的理论处理方法,但仍缺乏适用于所有实际相关交换过程的理论处理方法。为此,提出了一个基于随机刘维尔方程(SLE)的统一理论框架。它涵盖了核自旋动力学、蛋白质和纳米结构的整体旋转扩散、自由态和束缚态之间的交换过程以及蛋白质内部动力学。尽管 SLE 的数值实现通常涉及大型矩阵,但这里表明,对于实际相关的情况,它在计算上仍然是可行的。该理论的应用表明,在广泛的交换时间范围内,横向弛豫如何受到结合动力学的显著影响。进一步表明,当交换发生在适当的时间尺度上时,横向弛豫能够报告比传统的横向弛豫实验更慢的内部动力学。SLE 将允许对报告关于瞬态蛋白质-纳米颗粒相互作用的实验 NMR 数据进行现实和定量的解释,从而为在包括可能具有功能相关性的运动在内的广泛时间尺度上对蛋白质动力学模式进行表征提供了强大的工具。