Nonuniform sampling in multidimensional NMR for improving spectral sensitivity

被引：23

作者：

Zambrello, Matthew A. ^{[1
]}

Schuyler, Adam D. ^{[1
]}

Maciejewski, Mark W. ^{[1
]}

Delaglio, Frank ^{[2
,3
]}

Bersonova, Irina ^{[1
]}

Hoch, Jeffrey C. ^{[1
]}

机构：

[1] UConn Hlth, Dept Mol Biol & Biophys, 263 Farmington Ave, Farmington, CT 06030 USA

[2] NIST, Inst Biosci & Biotechnol Res, 9600 Gudelsky Dr, Rockville, MD 20850 USA

[3] Univ Maryland, 9600 Gudelsky Dr, Rockville, MD 20850 USA

来源：

METHODS | 2018年 / 138卷

基金：

美国国家卫生研究院;

关键词：

TO-NOISE RATIO; MAXIMUM-ENTROPY; PROJECTION-RECONSTRUCTION; REDUCED DIMENSIONALITY; SPECTROSCOPY; RESOLUTION; PROTEIN; EXTRAPOLATION; ENHANCEMENT;

D O I：

10.1016/j.ymeth.2018.03.001

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The development of multidimensional NMR spectroscopy enabled an explosion of structural and dynamical investigations on proteins and other biornacromolecules. Practical limitations on data sampling, based on the Jeener paradigm of parametric sampling of indirect time domains, have long placed limits on resolution in the corresponding frequency dimensions. The emergence of nonuniform sampling (NUS) in indirect time dimensions circumvents those limitations, affording high resolution spectra from short data records collected in practically realized measurement times. In addition to substantially improved resolution, NUS can also be exploited to improve sensitivity, with gains comparable to those obtained using cryogenically cooled probes. We describe a general approach for acquiring and processing multidimensional NUS NMR data for improving sensitivity. (C) 2018 Elsevier Inc. All rights reserved.

引用

页码：62 / 68

页数：7

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