Nag Ambarish, Zhao Tong, Dinner Aaron R
Department of Chemistry, James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA.
J Chem Phys. 2007 Jan 21;126(3):035103. doi: 10.1063/1.2428301.
Existing models of ligand-receptor binding kinetics suggest that clustering surface-associated molecules tends to decrease the rates with which solution phase molecules associate and dissociate. Here, the authors use kinetic Monte Carlo simulations to study the case of an enzyme catalyzing the turnover of substrate molecules immobilized on a surface. The simulations reveal a crossover in the overall reaction rates for randomly distributed and clustered substrate molecules as the enzyme unbinding rate is varied. Approximate expressions for the effective kinetic parameters are introduced, and they show that the observed behavior derives from sequestration of the enzyme in the strong-sticking limit.
现有的配体-受体结合动力学模型表明,聚集表面相关分子往往会降低溶液相分子结合和解离的速率。在此,作者使用动力学蒙特卡罗模拟来研究一种酶催化固定在表面的底物分子周转的情况。模拟结果显示,随着酶解离速率的变化,随机分布和聚集的底物分子的总反应速率会出现交叉。引入了有效动力学参数的近似表达式,结果表明观察到的行为源于在强吸附极限下酶的隔离。