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主动流动、肌肉收缩和亚细胞动力学中分子过程的动态协同性:亚细胞水平的自组织分子机制。

Dynamic cooperativity of molecular processes in active streaming, muscle contraction, and subcellular dynamics: the molecular mechanism of self-organization at the subcellular level.

作者信息

Shimizu H

出版信息

Adv Biophys. 1979;13:195-278.

PMID:161690
Abstract

Life phenomena are a kind of ordered dynamics appearing in macroscopic systems, living systems. Schrödinger has proposed a molecular mechanism for the organization of life phenomena, i.e., 'order-from-order' mechanism where ordered dynamics are composed of molecular dynamics having order as the ordered dynamics of a watch is caused by orderly movements of its mechanical elements. However, neither evidence supporting the 'order-from-order' mechanism has been found in living systems nor the reason why molecular dynamics acquire order instead of disorder has been elucidated for more than 30 years. The latter is quite anomalous from the point of views of thermodynamics, which is based on disordered behaviors of molecules. In this paper, we verify from studies of a streaming system reconstituted from rabbit skeletal F-actin and HMM that one life phenomenon, active streaming, is caused by the 'order-from-order' mechanism. This is also the case for muscle contraction. Moreover, it is probable that this mechanism generally works at the subcellular level, not only in biological motilities but also in life phenomena at biomembranes. We also clarify that dynamic cooperativity among molecule gives rise to order in molecular dynamics. Hence, dynamic cooperativity is the key mechanism for life phenomena caused by the 'order-from-order' principle at the subcellular level. To produce dynamic cooperativity it is necessary for component molecules or elements to have three states, i.e., inactive (stable) state 0, energized or energy storing (quasi-stable) state 1, and active (unstable) state 2. Each molecule performs elementary cycle 0 yields 1 yields 2 yields 0 repeatedly by using free energy at the molecular level. In a state far from thermodynamic equilibrium dynamic cooperativity is yielded in 2 yields 0 due to a kind of triggering action of neighboring elements and breaks thermodynamic detailed balance. In addition, dynamic cooperativity gives component molecules long-range interactions which depend on the structure of organelles or molecular assemblies. Dynamic cooperativity is able to decrease entropy production and will give a high efficiency in chemo-mechanical conversions. Great progress would be achieved in the understanding of the molecular mechanisms and thermodynamic principles of energy transformations in biological systems, if molecular dynamics during transformation could be directly observed. This is not only because physical changes accompanied by specific movements of macromolecules are essentially involved but also because such molecular movements play a substantial role in energy transformation. Entirely new ideas will be needed for this purpose although high voltage electron microscopy or X-ray diffraction, for instance, is now expected as to be one of the possible tools in the future. Fortunately even at present it is possible to obtain important information on molecular dynamics from biochemical and physiological data, if analyses are properly performed...

摘要

生命现象是出现在宏观系统即生命系统中的一种有序动力学。薛定谔提出了一种生命现象组织的分子机制,即“由有序产生有序”机制,其中有序动力学由具有秩序的分子动力学组成,就像手表的有序动力学是由其机械元件的有序运动所导致的一样。然而,在生命系统中既未找到支持“由有序产生有序”机制的证据,而且三十多年来也未阐明分子动力学为何获得秩序而非无序。从基于分子无序行为的热力学观点来看,后者是相当反常的。在本文中,我们通过对由兔骨骼肌F -肌动蛋白和重链肌球蛋白重构的流动系统的研究验证,一种生命现象——主动流动,是由“由有序产生有序”机制引起的。肌肉收缩也是如此。此外,这种机制很可能在亚细胞水平普遍起作用,不仅在生物运动中,而且在生物膜的生命现象中。我们还阐明分子间的动态协同作用在分子动力学中产生秩序。因此,动态协同作用是亚细胞水平上由“由有序产生有序”原理引起的生命现象的关键机制。为了产生动态协同作用,组成分子或元件必须具有三种状态,即非活性(稳定)状态0、激活或储能(准稳定)状态1以及活性(不稳定)状态2。每个分子通过在分子水平利用自由能反复执行基本循环0产生1产生2产生0。在远离热力学平衡的状态下,由于相邻元件的某种触发作用,在2产生0时产生动态协同作用并打破热力学细致平衡。此外,动态协同作用赋予组成分子取决于细胞器或分子组装结构的长程相互作用。动态协同作用能够减少熵产生并在化学 - 机械转换中具有高效率。如果能够直接观察转化过程中的分子动力学,那么在理解生物系统中能量转换的分子机制和热力学原理方面将会取得巨大进展。这不仅是因为本质上涉及大分子特定运动伴随的物理变化,而且因为这种分子运动在能量转换中起重要作用。为此目的将需要全新的思路,尽管例如高压电子显微镜或X射线衍射现在有望成为未来可能的工具之一。幸运的是,即使目前,如果进行适当的分析,也有可能从生化和生理数据中获得关于分子动力学的重要信息……

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