驱动蛋白热力学性能中的能量转换、波动抑制和信息传递
Energy Conversion, Fluctuation Suppression, and Information Transfer in the Thermodynamic Performance of Kinesin
AI总结：
研究驱动蛋白热力学性能，通过构建两态模型，推导并比较多种效率的解析表达式与模拟结果，发现其效率低，说明仅热力学效率不能完全表征驱动蛋白性能，需进一步研究互补动力学观点。
AI中文摘要：
驱动蛋白是一种沿微管运输细胞内货物的分子马达。近期研究在随机热力学框架内用各种效率量化其性能，但因采用不同模型和假设，定量比较困难，其性能在热力学上是否优化尚不清楚。本文在单一驱动蛋白-货物模型中系统比较多种热力学效率。构建热力学一致的两态模型，假设马达和货物时间尺度分离，推导多种效率的解析表达式并与数值模拟结果比较。发现这些效率普遍较低，表明驱动蛋白未针对最大化此处考虑的热力学效率进行优化。结果表明仅热力学效率可能无法完全表征驱动蛋白性能，促使进一步研究评估分子马达功能的互补动力学观点。
英文摘要：
Kinesin is a molecular motor that transports intracellular cargoes along microtubules. Recent studies have quantified kinesin performance using various efficiencies within the framework of stochastic thermodynamics; however, quantitative comparisons remain difficult because different models and assumptions have been employed. As a result, it remains unclear which aspect of kinesin performance, if any, is thermodynamically optimized. Here, we systematically compare multiple thermodynamic efficiencies within a single kinesin-cargo model. To this end, we construct a thermodynamically consistent two-state kinesin-cargo model that retains both the discrete stepping of kinesin and its coupling to the cargo. Assuming a separation of time scales between the motor and the cargo, we derive analytical expressions for the thermodynamic efficiency, the information-thermodynamic efficiency, the thermodynamic uncertainty relation (TUR) efficiency, and the bipartite TUR efficiency, and compare them with numerical simulation results. We find that these efficiencies generally remain low, suggesting that kinesin is not optimized for maximizing the thermodynamic efficiencies considered here. Our results suggest that thermodynamic efficiencies alone may not fully characterize kinesin performance and motivate further investigation of complementary kinetic perspectives for assessing molecular motor function.
