Lesovoy D M, Mineev K S, Bragin P E, Bocharova O V, Bocharov E V, Arseniev A S
Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences RAS, Str. Miklukho-Maklaya 16/10, Moscow, Russian Federation, 117997.
Moscow Institute of Physics and Technology, Institutsky per., 9, Dolgoprudny, Russian Federation, 141700.
J Biomol NMR. 2017 Nov;69(3):165-179. doi: 10.1007/s10858-017-0146-1. Epub 2017 Oct 23.
In the case of soluble proteins, chemical shift mapping is used to identify the intermolecular interfaces when the NOE-based calculations of spatial structure of the molecular assembly are impossible or impracticable. However, the reliability of the membrane protein interface mapping based on chemical shifts or other relevant parameters was never assessed. In the present work, we investigate the predictive power of various NMR parameters that can be used for mapping of helix-helix interfaces in dimeric TM domains. These parameters are studied on a dataset containing three structures of helical dimers obtained for two different proteins in various membrane mimetics. We conclude that the amide chemical shifts have very little predictive value, while the methyl chemical shifts could be used to predict interfaces, though with great care. We suggest an approach based on conversion of the carbon NMR relaxation parameters of methyl groups into parameters of motion, and one of such values, the characteristic time of methyl rotation, appears to be a reliable sensor of interhelix contacts in transmembrane domains. The carbon NMR relaxation parameters of methyl groups can be measured accurately and with high sensitivity and resolution, making the proposed parameter a useful tool for investigation of protein-protein interfaces even in large membrane proteins. An approach to build the models of transmembrane dimers based on perturbations of methyl parameters and TMDOCK software is suggested.
对于可溶性蛋白质,当基于核Overhauser效应(NOE)计算分子组装体的空间结构不可能或不可行时,化学位移图谱可用于识别分子间界面。然而,基于化学位移或其他相关参数的膜蛋白界面图谱的可靠性从未得到评估。在本工作中,我们研究了各种可用于绘制二聚体跨膜结构域中螺旋 - 螺旋界面的核磁共振(NMR)参数的预测能力。这些参数在一个数据集上进行了研究,该数据集包含在各种膜模拟物中针对两种不同蛋白质获得的三种螺旋二聚体结构。我们得出结论,酰胺化学位移的预测价值很小,而甲基化学位移可用于预测界面,不过要非常谨慎。我们提出了一种基于将甲基基团的碳NMR弛豫参数转换为运动参数的方法,其中一个这样的值,即甲基旋转的特征时间,似乎是跨膜结构域中螺旋间接触的可靠传感器。甲基基团的碳NMR弛豫参数可以准确地、高灵敏度和高分辨率地测量,使得所提出的参数成为研究蛋白质 - 蛋白质界面(即使在大型膜蛋白中)的有用工具。本文还提出了一种基于甲基参数扰动和TMDOCK软件构建跨膜二聚体模型的方法。