框架有序理论:观察钙调素复合物的运动。

IF 7.2 2区 生物学 Q1 BIOPHYSICS Quarterly Reviews of Biophysics Pub Date : 2019-04-03 DOI:10.1017/S0033583519000015
Edward James d'Auvergne, Christian Griesinger
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引用次数: 0

摘要

分子的大尺度功能运动实验研究使用了许多分子和生物物理学技术,从这些数据随后解释使用不同的布朗分子动力学模型。为了统一所有旋转物理技术和运动模型,本文建立了基于刚体框架旋转有序的通用统计力学理论——框架阶张量。框架排序是控制运动如何调节旋转分子物理的基本物理,它定义了可观察物理中编码的属性和最大信息内容。利用张量将残差偶极耦合和伪接触位移这两种不同的信息丰富的原子水平的生物物理测量从核磁共振波谱学领域连接到一些基本的机械关节模型,观察到钙调素(CaM)以紧密封闭的构象结合到靶肽的高度动态状态。结构域内和结构域间的运动揭示了CaM复合体是为肽释放熵启动的。
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The theory of frame ordering: observing motions in calmodulin complexes.

Large scale functional motions of molecules are studied experimentally using numerous molecular and biophysics techniques, the data from which are subsequently interpreted using diverse models of Brownian molecular dynamics. To unify all rotational physics techniques and motional models, the frame order tensor - a universal statistical mechanics theory based on the rotational ordering of rigid body frames - is herein formulated. The frame ordering is the fundamental physics that governs how motions modulate rotational molecular physics and it defines the properties and maximum information content encoded in the observable physics. Using the tensor to link residual dipolar couplings and pseudo-contact shifts, two distinct information-rich and atomic-level biophysical measurements from the field of nuclear magnetic resonance spectroscopy, to a number of basic mechanical joint models, a highly dynamic state of calmodulin (CaM) bound to a target peptide in a tightly closed conformation was observed. Intra- and inter-domain motions reveal the CaM complex to be entropically primed for peptide release.

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来源期刊
Quarterly Reviews of Biophysics
Quarterly Reviews of Biophysics 生物-生物物理
CiteScore
12.90
自引率
1.60%
发文量
16
期刊介绍: Quarterly Reviews of Biophysics covers the field of experimental and computational biophysics. Experimental biophysics span across different physics-based measurements such as optical microscopy, super-resolution imaging, electron microscopy, X-ray and neutron diffraction, spectroscopy, calorimetry, thermodynamics and their integrated uses. Computational biophysics includes theory, simulations, bioinformatics and system analysis. These biophysical methodologies are used to discover the structure, function and physiology of biological systems in varying complexities from cells, organelles, membranes, protein-nucleic acid complexes, molecular machines to molecules. The majority of reviews published are invited from authors who have made significant contributions to the field, who give critical, readable and sometimes controversial accounts of recent progress and problems in their specialty. The journal has long-standing, worldwide reputation, demonstrated by its high ranking in the ISI Science Citation Index, as a forum for general and specialized communication between biophysicists working in different areas. Thematic issues are occasionally published.
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