Department of Biochemistry & Molecular Genetics, School of Medicine, University of Colorado, 12801 E. 17(th) Avenue, Aurora, CO 80045, USA.
Department of Biochemistry & Molecular Genetics, School of Medicine, University of Colorado, 12801 E. 17(th) Avenue, Aurora, CO 80045, USA; Department of Pharmaceutical Organic Chemistry, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt.
Methods. 2022 Oct;206:87-98. doi: 10.1016/j.ymeth.2022.08.006. Epub 2022 Aug 17.
The introduction of the exact nuclear Overhauser enhancement (eNOE) methodology to solution-state nuclear magnetic resonance (NMR) spectroscopy results in tighter distance restraints from NOEs than in convention analysis. These improved restraints allow for higher resolution in structure calculation and even the disentanglement of different conformations of macromolecules. While initial work primarily focused on technical development of the eNOE, structural studies aimed at the elucidation of spatial sampling in proteins and nucleic acids were published in parallel prior to 2018. The period of 2018-2022 saw a continued series of technical innovation, but also major applications addressing biological questions. Here, we review both aspects, covering topics from the implementation of non-uniform sampling of NOESY buildups, novel pulse sequences, adaption of the eNOE to solid-state NMR, advances in eNOE data analysis, and innovations in structural ensemble calculation, to applications to protein, RNA, and DNA structure elucidation.
精确核磁双共振增强(eNOE)方法引入溶液核磁共振(NMR)谱学,得到的 NOE 距离约束比常规分析更严格。这些改进的约束条件允许在结构计算中实现更高的分辨率,甚至可以区分大分子的不同构象。虽然最初的工作主要集中在 eNOE 的技术开发上,但在 2018 年之前,就已经有旨在阐明蛋白质和核酸中空间采样的结构研究同时发表。2018-2022 年期间,该领域继续进行了一系列技术创新,同时也有针对生物学问题的重要应用。在这里,我们综述了这两个方面,涵盖了从非均匀采样的 NOESY 堆积、新脉冲序列、eNOE 向固态 NMR 的适应、eNOE 数据分析的进展以及结构集合计算的创新等方面,以及在蛋白质、RNA 和 DNA 结构阐明方面的应用。