Biomolecular NMR data analysis

被引：10
|
作者：
Gryk, Michael R. [1 ]
Vyas, Jay [1 ]
Maciejewski, Mark W. [1 ]
机构：
[1] Univ Connecticut, Ctr Hlth, Dept Mol Microbial & Struct Biol, Farmington, CT 06030 USA
来源：
PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY | 2010年 / 56卷 / 04期
基金：
美国国家卫生研究院;
关键词：
Biomolecular NMR; Data model; Pulse sequence; Non-uniform sampling; Hyper-dimensional spectrum; DNA-POLYMERASE-BETA; LINEAR-PREDICTION EXTRAPOLATION; MAXIMUM-ENTROPY RECONSTRUCTION; FILTER DIAGONALIZATION METHOD; PROTEIN SECONDARY STRUCTURE; NUCLEAR-MAGNETIC-RESONANCE; MULTIDIMENSIONAL NMR; CHEMICAL-SHIFT; FOURIER-TRANSFORM; 3-WAY DECOMPOSITION;
D O I：
10.1016/j.pnmrs.2010.02.002
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
The review of Progress in Nuclear Magnetic Resonance Spectroscopy informs about biomolecular NMR data analysis. It focuses on the use of software tools for processing and analyzing NMR data for determining the three-dimensional structures of proteins and characterizing other biophysical properties of these macromolecules. The NMR data processing pipeline consists of several distinct phases, such as Spectral Acquisition (SQ), Spectral Reconstruction (SR), Spectral Analysis (SA), and Biophysical Characterization (BC). The modular approach to data analysis also allows the user to preprocess each individual spectrum in a manner that is appropriate to its acquisition details. It is required to attain high sensitivity and resolution in an effort to analyze complex NMR data generated from bio-molecules.
引用
收藏
页码：329 / 345
页数：17
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