Estimating cross-relaxation rates between methyl and neighboring labile proton spins in high molecular weight proteins.

IF 1.9 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Vitali Tugarinov, G Marius Clore
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引用次数: 0

Abstract

We show that water saturation leads to deleterious losses in sensitivity of methyl signals in selectively methyl-[13CH3]-labeled protein samples of high molecular weight proteins dissolved in H2O. These losses arise from efficient cross-relaxation between methyl protons and proximal labile protons in the protein structure. A phenomenological model for analysis of methyl intensity decay profiles that involves exchange saturation transfer of magnetization from localized proton spins of water to various labile groups in the protein structure that, in turn, efficiently cross-relax with protons of methyl groups, is described. Analysis of methyl intensity decay profiles with this model allows cross-relaxation rates (σ) between methyl and labile protons to be determined and permits identification of methyl sites in close proximity to labile groups in the protein structure.

估计高分子量蛋白质中甲基和邻近不稳定质子自旋之间的交叉弛豫速率。
我们发现,水饱和导致选择性甲基-[13CH3]标记的高分子量蛋白质溶解在水中的蛋白质样品中甲基信号敏感性的有害损失。这些损失是由蛋白质结构中甲基质子和近端不稳定质子之间的有效交叉松弛引起的。描述了用于分析甲基强度衰减剖面的现象学模型,该模型涉及从水的局部质子自旋到蛋白质结构中各种不稳定基团的交换饱和转移,这些不稳定基团反过来又有效地与甲基的质子交叉松弛。用该模型分析甲基强度衰减曲线,可以确定甲基和不稳定质子之间的交叉弛豫速率(σ),并可以识别蛋白质结构中靠近不稳定基团的甲基位点。
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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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