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Periodic Signal Transmission through Metabolic Pathways with Michaelian Kinetics

机译:通过代谢途径与米氏动力学的周期性信号传递

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摘要

The propagation of oscillations in metabolite concentrations mediated by simple Michaelis-Menten enzymes is studied from a theoretical viewpoint. Sinusoidal input waves are investigated, and the resulting output velocities are analyzed. As a first approach, both irreversible and reversible reactions with linear kinetics are examined. Analytical expressions result for the ratios of output to input amplitudes (damping factors), as well as for phase shifts. It is shown that transmission of sinusoidal oscillations by Michaelis enzymes is approximately linear around the mean input flux even for high amplitudes of the velocity. Accordingly, contributions of superior harmonics to the overall waveform can be neglected. The predicted maximum phase shift for these systems is a quarter of a cycle per reaction step, which occurs at high frequencies. Effective rate constants are introduced that are needed for the accurate prediction of output amplitudes. By using them, calculations are presented suggesting that complete transmission can be expected for low- or medium-saturated glycolytic enzymes.
机译:从理论的角度研究了由简单的Michaelis-Menten酶介导的代谢物浓度振荡的传播。研究正弦输入波,并分析所得的输出速度。作为第一种方法,研究了具有线性动力学的不可逆和可逆反应。对输出振幅与输入振幅之比(阻尼系数)以及相移得出解析表达式。结果表明,即使速度幅度较大,Michaelis酶的正弦振荡传递也大致围绕平均输入通量线性变化。因此,可以忽略高次谐波对整个波形的贡献。这些系统的预计最大相移为每个反应步骤的四分之一周期,该周期在高频下发生。引入了有效速率常数,这是准确预测输出幅度所需要的。通过使用它们,提出的计算表明对于低或中饱和的糖酵解酶可以预期完全传递。

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