论文标题

集体运动驱动运输的动态和热力学边界

Dynamic and thermodynamic bounds for collective motor-driven transport

论文作者

Leighton, Matthew P., Sivak, David A.

论文摘要

分子电动机共同工作以在细胞内运输货物,其中一到几百个电动机拖曳一辆货物。对于一系列广泛的集体传输系统,我们使用从随机热力学的工具来得出比第二定律更紧密的熵生产率的新下限。这意味着通用运输系统的速度,效率和精度以及相同电动机的一组分析帕累托边界的新界限。在特定模型中,我们确定了这些帕累托边界饱和的条件。

Molecular motors work collectively to transport cargo within cells, with anywhere from one to several hundred motors towing a single cargo. For a broad class of collective-transport systems, we use tools from stochastic thermodynamics to derive a new lower bound for the entropy production rate which is tighter than the second law. This implies new bounds on the velocity, efficiency, and precision of general transport systems and a set of analytic Pareto frontiers for identical motors. In a specific model, we identify conditions for saturation of these Pareto frontiers.

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