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Non-uniform frequency domain for optimal exploitation of non-uniform sampling

机译:非均匀频域,用于非均匀采样的最佳利用

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摘要

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.
机译:不受Nyquist定理限制的NMR信号的随机采样在获得所需光谱分辨率所需的实验时间内可产生高达数千倍的增益。离散傅里叶变换(DFT)可用于处理随机采样的数据集,很少会引入不规则频域的可能性。在这里,我们演示了此功能如何为超高分辨率和维数的NMR技术开辟道路。我们介绍高分辨率5D实验的蛋白质骨架配置和从4D E.COSY多重态的耦合常数的测量。使用提议的技术获得的光谱数据可轻松分配蛋白质骨架共振并精确确定偶联常数。

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