Department of Chemistry, Indian Institute of Technology, Madras, Chennai 600036, India.
J Chem Phys. 2023 Oct 21;159(15). doi: 10.1063/5.0152686.
Classical theories of enzyme inhibition kinetics predict a monotonic decrease in the mean catalytic activity with the increase in inhibitor concentration. The steady-state result, derived from deterministic mass action kinetics, ignores molecular noise in enzyme-inhibition mechanisms. Here, we present a stochastic generalization of enzyme inhibition kinetics to mesoscopic enzyme concentrations by systematically accounting for molecular noise in competitive and uncompetitive mechanisms of enzyme inhibition. Our work reveals an activator-inhibitor duality as a non-classical effect in the transient regime in which inhibitors tend to enhance enzymatic activity. We introduce statistical measures that quantify this counterintuitive response through the stochastic analog of the Lineweaver-Burk plot that shows a merging of the inhibitor-dependent velocity with the Michaelis-Menten velocity. The statistical measures of mean and temporal fluctuations - fractional enzyme activity and waiting time correlations - show a non-monotonic rise with the increase in inhibitors before subsiding to their baseline value. The inhibitor and substrate dependence of the fractional enzyme activity yields kinetic phase diagrams for non-classical activator-inhibitor duality. Our work links this duality to a molecular memory effect in the transient regime, arising from positive correlations between consecutive product turnover times. The vanishing of memory in the steady state recovers all the classical results.
经典的酶抑制动力学理论预测,随着抑制剂浓度的增加,平均催化活性会呈单调下降。稳态结果是由确定性的质量作用动力学推导出的,忽略了酶抑制机制中的分子噪声。在这里,我们通过系统地考虑竞争和非竞争酶抑制机制中的分子噪声,将酶抑制动力学的随机广义化到介观酶浓度。我们的工作揭示了一种激活剂-抑制剂双重性作为瞬态效应中的一种非经典效应,其中抑制剂往往会增强酶的活性。我们引入了统计度量来通过随机模拟的 Lineweaver-Burk 图量化这种反直觉的响应,该图显示了抑制剂依赖性速度与米氏动力学速度的融合。平均和时间波动的统计度量 - 分数酶活性和等待时间相关性 - 在抑制剂增加之前呈非单调上升,然后降至基线值。分数酶活性的抑制剂和底物依赖性产生了非经典激活剂-抑制剂双重性的动力学相图。我们的工作将这种双重性与瞬态效应中的分子记忆效应联系起来,这种记忆效应源于连续产物转化时间之间的正相关。在稳态下记忆的消失恢复了所有的经典结果。