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arXiv 1808.04013physics.bio-phq-bio.SC
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用于驱动非米氏酶速率的非平衡动力学和热力学的通量的量化

Quantification of flux for non-equilibrium dynamics and thermodynamics for driving non-Michaelis-Menton Enzyme Rates

Qiong Liu, Jin Wang

摘要:

活动的物理和生物系统的驱动力是由下垫面景观和非平衡旋度通量决定的。虽然景观可以量化的实验中的观测量的收集轨迹的直方图,实验通量量化仍然是具有挑战性的。在这项工作中,我们研究了单分子酶动力学,并观察到偏离传统的Michaelis-Menton反应速率的动力学。我们确定和量化的非平衡通量的起源,这种非米氏酶速率行为。这是第一次对非平衡主动动力学的驱动力通量进行了严格的量化。我们还量化了相应的非平衡态热力学的化学势和熵产生。我们确定和量化的通量,化学势和熵产生的起源作为在酶反应中吸收的热量(能量输入)。

英文摘要:

The driving force for active physical and biological systems is determined by both the underlying landscape and the non-equilibrium curl flux. While landscape can be quantified in the experiments by the histograms of the collecting trajectories of the observables, the experimental flux quantification is still challenging. In this work, we studied the single molecule enzyme dynamics and observed the deviation in kinetics from the conventional Michaelis-Menton reaction rate. We identified and quantified the non-equilibrium flux as the origin of such non-Michaelis-Menton enzyme rate behavior. This is the first time of rigorous quantification of the flux for the driving force of the non-equilibrium active dynamics. We also quantified the corresponding non-equilibrium thermodynamics in terms of chemical potential and entropy production. We identified and quantified the origin of the flux, chemical potential and entropy production as the heat absorbed (energy input) in the enzyme reaction.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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