Department of Chemistry, Indian Institute of Science Education and Research , Dr. Homi Bhabha Road, Pune 411008, Maharashtra, India.
J Phys Chem B. 2014 Sep 4;118(35):10405-12. doi: 10.1021/jp506141v. Epub 2014 Aug 22.
We consider a generic stochastic model to describe the kinetics of single-molecule enzyme inhibition reactions in which the turnover events correspond to conversion of substrate into a product by a single enzyme molecule in the presence of an inhibitor. We observe that slow fluctuations between the active and inhibited state of the enzyme or the enzyme substrate complex can induce dynamic disorder, which is manifested in the measurement of the Poisson indicator and the Fano factor as functions of substrate concentrations for different inhibition reactions. For a single enzyme molecule inhibited by the product, we derive a single-molecule Michaelis-Menten equation for the reaction rate, which shows a dependence on the substrate concentration similar to the ensemble enzymatic catalysis rate as obtained from bulk experimental results. The measurement of Fano factor is shown to be able to discriminate reactions following different inhibition mechanisms and also extract kinetic rates.
我们考虑了一个通用的随机模型来描述单分子酶抑制反应的动力学,其中酶分子在抑制剂存在的情况下将底物转化为产物的转化事件对应于酶的活性和抑制状态之间的缓慢波动或酶-底物复合物可以诱导动态无序,这表现在测量泊松指标和费诺因子作为不同抑制反应的底物浓度的函数。对于被产物抑制的单个酶分子,我们推导出了单分子米氏方程,用于反应速率,其显示出与从总体实验结果获得的酶催化速率相似的底物浓度依赖性。费诺因子的测量被证明能够区分遵循不同抑制机制的反应,并且还可以提取动力学速率。