Faculty of Chemistry, University of Warsaw, Pasteura 1, 02-093 Warsaw, Poland.
J Magn Reson. 2010 Aug;205(2):286-92. doi: 10.1016/j.jmr.2010.05.012. Epub 2010 May 25.
Random sampling of NMR signal, not limited by Nyquist Theorem, yields up to thousands-fold gain in the experiment time required to obtain desired spectral resolution. Discrete Fourier transform (DFT), that can be used for processing of randomly sampled datasets, provides rarely exploited possibility to introduce irregular frequency domain. Here we demonstrate how this feature opens an avenue to NMR techniques of ultra-high resolution and dimensionality. We present the application of high resolution 5D experiments for protein backbone assignment and measurements of coupling constants from the 4D E.COSY multiplets. Spectral data acquired with the use of proposed techniques allow easy assignment of protein backbone resonances and precise determination of coupling constants.
随机抽样 NMR 信号，不受奈奎斯特定理限制，可将获得所需光谱分辨率所需的实验时间提高数千倍。离散傅里叶变换 (DFT) 可用于处理随机采样数据集，为引入不规则频域提供了很少被利用的可能性。在这里，我们展示了这一特性如何为超高分辨率和维度的 NMR 技术开辟道路。我们介绍了高分辨率 5D 实验在蛋白质骨架分配和从 4D E.COSY 多重峰测量耦合常数方面的应用。使用所提出的技术获得的光谱数据允许轻松分配蛋白质骨架共振并精确确定耦合常数。
