Lawley Sean D, Keener James P
Department of Mathematics, University of Utah, Salt Lake City, UT 84112 United States of America.
Phys Biol. 2017 Jul 28;14(5):056002. doi: 10.1088/1478-3975/aa6f93.
The behavior of many biochemical processes depends crucially on molecules rapidly rebinding after dissociating. In the case of multisite protein modification, the importance of rebinding has been demonstrated both experimentally and through several recent computational studies involving stochastic spatial simulations. As rebinding stems from spatio-temporal correlations, theorists have resorted to models that explicitly include space to properly account for the effects of rebinding. However, for reactions in three space dimensions it was recently shown that well-mixed ordinary differential equation (ODE) models can incorporate rebinding by adding connections to the reaction network. The rate constants for these new connections involve the probability that a pair of molecules rapidly rebinds after dissociation. In order to study biochemical reactions on membranes, in this paper we derive an explicit formula for this rebinding probability for reactions in two space dimensions. We show that ODE models can use the formula to replicate detailed stochastic spatial simulations, and that the formula can predict ultrasensitivity for reactions involving multisite modification of membrane-bound proteins. Further, we compute a new concentration-dependent rebinding probability for reactions in three space dimensions. Our analysis predicts that rebinding plays a much larger role in reactions on membranes compared to reactions in cytoplasm.
许多生化过程的行为关键取决于分子解离后迅速重新结合的情况。在多位点蛋白质修饰的情况下,重新结合的重要性已通过实验以及最近一些涉及随机空间模拟的计算研究得到证明。由于重新结合源于时空相关性,理论家们采用了明确包含空间的模型来恰当地解释重新结合的影响。然而,对于三维空间中的反应,最近有研究表明,通过向反应网络添加连接,完全混合的常微分方程(ODE)模型可以纳入重新结合。这些新连接的速率常数涉及一对分子解离后迅速重新结合的概率。为了研究膜上的生化反应,在本文中我们推导出了二维空间中反应的这种重新结合概率的显式公式。我们表明,ODE模型可以使用该公式来复制详细的随机空间模拟,并且该公式可以预测涉及膜结合蛋白多位点修饰反应的超敏感性。此外,我们计算了三维空间中反应的新的浓度依赖性重新结合概率。我们的分析预测,与细胞质中的反应相比,重新结合在膜上的反应中起的作用要大得多。