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Exact dynamic properties of molecular motors

机译:分子电动机的精确动态特性

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Molecular motors play important roles within a biological cell, performing functions such as intracellular transport and gene transcription. Recent experimental work suggests that there are many plausible biochemical mechanisms that molecules such as myosin-V could use to achieve motion. To account for the abundance of possible discrete-stochastic frameworks that can arise when modeling molecular motor walks, a generalized and straightforward graphical method for calculating their dynamic properties is presented. It allows the calculation of the velocity, dispersion, and randomness ratio for any proposed system through analysis of its structure. This article extends work of King and Altman [A schematic method of deriving the rate laws of enzyme-catalyzed reactions, J. Phys. Chem. 60, 1375-1378 (1956)]10.1021/j150544a010 on networks of enzymatic reactions by calculating additional dynamic properties for spatially hopping systems. Results for n-state systems are presented: single chain, parallel pathway, divided pathway, and divided pathway with a chain. A novel technique for combining multiple system architectures coupled at a reference state is also demonstrated. Four-state examples illustrate the effectiveness and simplicity of these methods.
机译:分子马达在生物细胞中起重要作用,执行细胞内转运和基因转录等功能。最近的实验工作表明,有许多可能的生化机制,如肌球蛋白-V等分子可用于实现运动。为了解决在对分子马达行走进行建模时可能出现的大量离散随机框架,提出了一种用于计算其动态特性的通用且直观的图形方法。它允许通过分析其结构来计算任何提议系统的速度,色散和随机率。本文扩展了King和Altman的工作[推导酶催化反应速率规律的图解方法,J。Phys。化学60,1375-1378(1956)] 10.1021 / j150544a010上的酶促反应网络,方法是计算空间跳跃系统的其他动态特性。给出了n状态系统的结果:单链,平行途径,分裂途径和具有链的分裂途径。还展示了一种用于组合以参考状态耦合的多个系统架构的新颖技术。四状态示例说明了这些方法的有效性和简便性。

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