Liebovitch L S, Fischbarg J, Koniarek J P, Todorova I, Wang M
Biochim Biophys Acta. 1987 Jan 26;896(2):173-80. doi: 10.1016/0005-2736(87)90177-5.
Markov models with discrete states, such as closed in equilibrium with closed in equilibrium with open have been widely used to model the kinetics of ion channels in the cell membrane. In these models the transition probabilities per unit time (the kinetic rate constants) are independent of the time scale on which they are measured. However, in many physical systems, a property, L, depends on the scale, epsilon, at which it is measured such that L(epsilon) alpha epsilon 1-D where D is the fractal dimension. Such systems are said to be 'fractal'. Based on the assumption that the kinetic rates are given by k(t) alpha t1-D we derive a fractal model of ion-channel kinetics. This fractal model has fewer adjustable parameters, is more consistent with the dynamics of protein conformations, and fits the single-channel recordings from the corneal endothelium better than the discrete-state Markov model.
具有离散状态的马尔可夫模型,如处于平衡态关闭、开放与平衡态开放,已被广泛用于模拟细胞膜中离子通道的动力学。在这些模型中,单位时间的跃迁概率(动力学速率常数)与测量它们的时间尺度无关。然而,在许多物理系统中,一个属性L取决于测量它的尺度ε,使得L(ε)∝ε^1 - D,其中D是分形维数。这样的系统被称为“分形的”。基于动力学速率由k(t)∝t^1 - D给出的假设,我们推导出了离子通道动力学的分形模型。这个分形模型具有更少的可调参数,与蛋白质构象的动力学更一致,并且比离散状态马尔可夫模型能更好地拟合角膜内皮的单通道记录。