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在现实约束下分子马达的设计原则和最优性能。

Design principles and optimal performance for molecular motors under realistic constraints.

机构信息

IBM T.J. Watson Research Center, Yorktown Heights, New York 10598, USA.

Department of Physics, UCSD, La Jolla, California 92093, USA.

出版信息

Phys Rev E. 2018 Feb;97(2-1):022403. doi: 10.1103/PhysRevE.97.022403.

Abstract

The performance of a molecular motor, characterized by its power output and energy efficiency, is investigated in the motor design space spanned by the stepping rate function and the motor-track interaction potential. Analytic results and simulations show that a gating mechanism that restricts forward stepping in a narrow window in configuration space is needed for generating high power at physiologically relevant loads. By deriving general thermodynamics laws for nonequilibrium motors, we find that the maximum torque (force) at stall is less than its theoretical limit for any realistic motor-track interactions due to speed fluctuations. Our study reveals a tradeoff for the motor-track interaction: while a strong interaction generates a high power output for forward steps, it also leads to a higher probability of wasteful spontaneous back steps. Our analysis and simulations show that this tradeoff sets a fundamental limit to the maximum motor efficiency in the presence of spontaneous back steps, i.e., loose-coupling. Balancing this tradeoff leads to an optimal design of the motor-track interaction for achieving a maximum efficiency close to 1 for realistic motors that are not perfectly coupled with the energy source. Comparison with existing data and suggestions for future experiments are discussed.

摘要

研究了分子马达的性能,其性能由其功率输出和能量效率来表征,该性能是在由步移率函数和马达-轨道相互作用势能所构成的马达设计空间中进行研究的。分析结果和模拟表明,需要有一种门控机制来限制在构象空间中的狭窄窗口中的前向步移,从而在生理相关的负载下产生高功率。通过推导出非平衡马达的一般热力学定律,我们发现,由于速度波动,任何实际的马达-轨道相互作用的最大扭矩(力)都小于其理论极限。我们的研究揭示了马达-轨道相互作用的一种权衡:虽然强相互作用会产生高的前向步移功率输出,但也会导致浪费性自发后向步移的概率增加。我们的分析和模拟表明,这种权衡对存在自发后向步移(即松散耦合)时的最大马达效率设置了一个基本限制。平衡这种权衡关系可以为实现接近 1 的最大效率设计出最优的马达-轨道相互作用,对于与能量源不完全耦合的实际马达来说,这是一个非常有效的设计。我们还讨论了与现有数据的比较以及对未来实验的建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0e3/6023414/3a4f86066e55/nihms976700f1.jpg

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