准原生溶菌酶中的甘油奴役 1H-1H NMR 交叉舒张。

IF 3.3 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Biophysical chemistry Pub Date : 2024-06-28 DOI:10.1016/j.bpc.2024.107286
Kirthi Joshi, Abani K. Bhuyan
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引用次数: 0

摘要

在甘油粘度可变的条件下,对溶菌酶进行了 1H-1H 核交叉松弛实验,以研究在 298 K、pH 值为 3.8 的条件下的分子内运动、自扩散和各向同性刚体旋转翻滚。分子内 1H-1H 交叉松弛率的动力学、核间空间距离的增加以及横向和旋转扩散系数都显示出分数粘度依赖性,幂律指数 κ 在 0.17-0.83 范围内。甘油扩散系数 Ds 与体积粘度本身的关系是非斯托克斯式的,与介质粘度有分数粘度依赖关系(Ds ∼ η-κ,κ ≈ 0.71)。甘油扩散的分数粘度依赖性与蛋白质的扩散和分子内交叉松弛率之间的一致性和相似性推断,甘油的松弛会减缓蛋白质的松弛。甘油将原生溶菌酶转化为准原生状态并不影响全局和内部波动都从属于甘油松弛的结论。
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Glycerol-slaved 1H-1H NMR cross-relaxation in quasi-native lysozyme

1H-1H nuclear cross-relaxation experiments have been carried out with lysozyme in variable glycerol viscosity to study intramolecular motion, self-diffusion, and isotropic rigid-body rotational tumbling at 298 K, pH 3.8. Dynamics of intramolecular 1H-1H cross-relaxation rates, the increase in internuclear spatial distances, and lateral and rotational diffusion coefficients all show fractional viscosity dependence with a power law exponent κ in the 0.17–0.83 range. The diffusion coefficient of glycerol Ds with the bulk viscosity itself is non-Stokesian, having a fractional viscosity dependence on the medium viscosity (Ds ∼ η-κ, κ ≈ 0.71). The concurrence and close similarity of the fractional viscosity dependence of glycerol diffusion on the one hand, and diffusion and intramolecular cross-relaxation rates of the protein on the other lead to infer that relaxation of glycerol slaves protein relaxations. Glycerol-transformed native lysozyme to a quasi-native state does not affect the conclusion that both global and internal fluctuations are slaved to glycerol relaxation.

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来源期刊
Biophysical chemistry
Biophysical chemistry 生物-生化与分子生物学
CiteScore
6.10
自引率
10.50%
发文量
121
审稿时长
20 days
期刊介绍: Biophysical Chemistry publishes original work and reviews in the areas of chemistry and physics directly impacting biological phenomena. Quantitative analysis of the properties of biological macromolecules, biologically active molecules, macromolecular assemblies and cell components in terms of kinetics, thermodynamics, spatio-temporal organization, NMR and X-ray structural biology, as well as single-molecule detection represent a major focus of the journal. Theoretical and computational treatments of biomacromolecular systems, macromolecular interactions, regulatory control and systems biology are also of interest to the journal.
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