Suppr超能文献

使用多向分解对具有耦合演化周期的光谱进行稳健且通用的解释。

Robust and versatile interpretation of spectra with coupled evolution periods using multi-way decomposition.

作者信息

Malmodin Daniel, Billeter Martin

机构信息

Department of Chemistry, Göteborg University, Göteborg, Sweden.

出版信息

Magn Reson Chem. 2006 Jul;44 Spec No:S185-95. doi: 10.1002/mrc.1824.

Abstract

Coupling of evolution periods in NMR experiments is a very promising approach that has recently attracted much attention for its substantial savings in measurement time. Another novel concept, which has already proved useful in many types of NMR applications is multi-way decomposition. The PRODECOMP tool described here addresses the combination of these two modern tools in protein NMR. The following properties of this approach are described and illustrated. Highly similar information to what would be found in a corresponding full-dimensional spectrum is extracted from a set of projected spectra. All experimental spectra are used simultaneously, avoiding sensitivity loss associated with individual examination of the spectra. Aliasing caused by the linear combinations of individual shifts in the projected spectra is automatically resolved, allowing for better resolution due to smaller spectral widths. Reconstructions of various high-dimensional spectra, including the corresponding full-dimensional spectrum become straightforward. Spectral overlap is efficiently resolved. The capabilities of PRODECOMP are illustrated for a 14 kD protein, for which 12 projections of a 5-dimensional spectrum with the nuclei N, HN, CO, Calpha and Halpha are analysed.

摘要

核磁共振实验中演化周期的耦合是一种非常有前景的方法,最近因其在测量时间上的大幅节省而备受关注。另一个已在多种核磁共振应用中证明有用的新颖概念是多向分解。这里描述的PRODECOMP工具解决了蛋白质核磁共振中这两种现代工具的结合问题。描述并举例说明了这种方法的以下特性。从一组投影光谱中提取与相应全维光谱中发现的信息高度相似的信息。所有实验光谱同时使用,避免了与逐个检查光谱相关的灵敏度损失。投影光谱中各个位移的线性组合引起的混叠会自动消除,由于光谱宽度较小,从而实现更好的分辨率。各种高维光谱的重建,包括相应的全维光谱,都变得很简单。光谱重叠得到有效解决。以一个14 kD的蛋白质为例说明了PRODECOMP的功能,分析了该蛋白质五维光谱(包含原子核N、HN、CO、Cα和Hα)的12个投影。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验