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Sensitive and simplified: a combinatorial acquisition of five distinct 2D constant-time 13C-1H NMR protein correlation spectra.
Journal of Biomolecular NMR ( IF 2.4 ) Pub Date : 2020-08-17 , DOI: 10.1007/s10858-020-00341-x
Yuichi Yoshimura 1, 2, 3 , Frans A A Mulder 4
Affiliation  

A procedure is presented for the substantial simplification of 2D constant-time 13C−1H heteronuclear single-quantum correlation (HSQC) spectra of 13C-enriched proteins. In this approach, a single pulse sequence simultaneously records eight sub-spectra wherein the phases of the NMR signals depend on spin topology. Signals from different chemical groups are then stratified into different sub-spectra through linear combination based on Hadamard encoding of 13CHn multiplicity (n = 1, 2, and 3) and the chemical nature of neighboring 13C nuclei (aliphatic, carbonyl/carboxyl, aromatic). This results in five sets of 2D NMR spectra containing mutually exclusive signals from: (i) 13Cβ1Hβ correlations of asparagine and aspartic acid, 13Cγ1Hγ correlations of glutamine and glutamic acid, and 13Cα1Hα correlations of glycine, (ii) 13Cα1Hα correlations of all residues but glycine, and (iii) 13Cβ1Hβ correlations of phenylalanine, tyrosine, histidine, and tryptophan, and the remaining (iv) aliphatic 13CH2 and (v) aliphatic 13CH/13CH3 resonances. As HSQC is a common element of many NMR experiments, the spectral simplification proposed in this article can be straightforwardly implemented in experiments for resonance assignment and structure determination and should be of widespread utility.



中文翻译:

灵敏且简化:五个不同的 2D 恒定时间 13C-1H NMR 蛋白质相关光谱的组合采集。

提出了一种程序,用于显着简化13 C 富集蛋白质的 2D 恒定时间13 C- 1 H 异核单量子相关 (HSQC) 光谱。在这种方法中,单个脉冲序列同时记录八个子光谱,其中 NMR 信号的相位取决于自旋拓扑。然后通过基于13 CH n多重性(n  = 1、2 和 3)的Hadamard 编码和相邻13C 核(脂肪族、羰基/羧基、芳香族)。这导致五组 2D NMR 光谱包含来自以下方面的互斥信号:(i)天冬酰胺和天冬氨酸的13 C β - 1 H β相关性,谷氨酰胺和谷氨酸的13 C γ - 1 H γ相关性,以及13 C α1甘氨酸的H α相关性,(ii)除甘氨酸外所有残基的13 C α1 H α相关性,以及 (iii) 13 C β1苯丙氨酸、酪氨酸、组氨酸和色氨酸以及剩余的 (iv) 脂肪族13 CH 2和 (v) 脂肪族13 CH/ 13 CH 3共振的H β相关性。由于 HSQC 是许多 NMR 实验的常见元素,本文中提出的光谱简化可以直接在共振分配和结构确定实验中实施,并且应该具有广泛的实用性。

更新日期:2020-08-17
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