Vugmeyster Liliya, Ostrovsky Dmitry
University of Colorado Denver, Denver, CO 80204, USA.
University of Colorado Denver, Denver, CO 80204, USA.
Prog Nucl Magn Reson Spectrosc. 2017 Aug;101:1-17. doi: 10.1016/j.pnmrs.2017.02.001. Epub 2017 Mar 14.
In this review, we discuss the experimental static deuteron NMR techniques and computational approaches most useful for the investigation of side-chain dynamics in protein systems. Focus is placed on the interpretation of line shape and relaxation data within the framework of motional modeling. We consider both jump and diffusion models and apply them to uncover glassy behaviors, conformational exchange and dynamical transitions in proteins. Applications are chosen from globular and membrane proteins, amyloid fibrils, peptide adsorbed on surfaces and proteins specific to connective tissues.
在本综述中,我们讨论了对研究蛋白质系统侧链动力学最有用的实验静态氘核磁共振技术和计算方法。重点在于在运动模型框架内对线形和弛豫数据的解释。我们考虑了跳跃模型和扩散模型,并将它们应用于揭示蛋白质中的玻璃态行为、构象交换和动力学转变。应用实例选自球状蛋白和膜蛋白、淀粉样纤维、吸附在表面的肽以及结缔组织特有的蛋白质。