利用三维耦合核磁共振数据推导蛋白质的结构信息

IF 1.3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Lorna J. Smith, Wilfred F. van Gunsteren, Bartosz Stankiewicz, Niels Hansen
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引用次数: 2

摘要

从蛋白质的核磁共振实验中获得的j -耦合值不容易用于确定蛋白质的结构,因为很难考虑到中间j -耦合值(4 - 8hz)对平均周期的高灵敏度,而平均周期必须涵盖与j -耦合相关的扭角的构象变异性,并且由于难以处理扭角与j -耦合之间逆Karplus关系的多值特征。这两个问题都可以通过3d耦合时均局部高程约束MD仿真来解决。利用213主链和侧链j -偶联约束对蛋白蛋清溶菌酶进行分析,结果表明,该方法可以得到与实验数据相匹配的构象集合,并且考虑到Karplus关系引起的扭角的平均和算法能够摆脱局部极小值,这是将j -偶联数据综合应用于蛋白质结构测定的必要条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

On the use of 3J-coupling NMR data to derive structural information on proteins

On the use of 3J-coupling NMR data to derive structural information on proteins

Values of 3J-couplings as obtained from NMR experiments on proteins cannot easily be used to determine protein structure due to the difficulty of accounting for the high sensitivity of intermediate 3J-coupling values (4–8?Hz) to the averaging period that must cover the conformational variability of the torsional angle related to the 3J-coupling, and due to the difficulty of handling the multiple-valued character of the inverse Karplus relation between torsional angle and 3J-coupling. Both problems can be solved by using 3J-coupling time-averaging local-elevation restraining MD simulation. Application to the protein hen egg white lysozyme using 213 backbone and side-chain 3J-coupling restraints shows that a conformational ensemble compatible with the experimental data can be obtained using this technique, and that accounting for averaging and the ability of the algorithm to escape from local minima for the torsional angle induced by the Karplus relation, are essential for a comprehensive use of 3J-coupling data in protein structure determination.

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来源期刊
Journal of Biomolecular NMR
Journal of Biomolecular NMR 生物-光谱学
CiteScore
6.00
自引率
3.70%
发文量
19
审稿时长
6-12 weeks
期刊介绍: The Journal of Biomolecular NMR provides a forum for publishing research on technical developments and innovative applications of nuclear magnetic resonance spectroscopy for the study of structure and dynamic properties of biopolymers in solution, liquid crystals, solids and mixed environments, e.g., attached to membranes. This may include: Three-dimensional structure determination of biological macromolecules (polypeptides/proteins, DNA, RNA, oligosaccharides) by NMR. New NMR techniques for studies of biological macromolecules. Novel approaches to computer-aided automated analysis of multidimensional NMR spectra. Computational methods for the structural interpretation of NMR data, including structure refinement. Comparisons of structures determined by NMR with those obtained by other methods, e.g. by diffraction techniques with protein single crystals. New techniques of sample preparation for NMR experiments (biosynthetic and chemical methods for isotope labeling, preparation of nutrients for biosynthetic isotope labeling, etc.). An NMR characterization of the products must be included.
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