Schuss Z, Nadler B, Eisenberg R S
Department of Applied Mathematics, Tel-Aviv University, Ramat-Aviv, 69978 Tel-Aviv, Israel.
Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Sep;64(3 Pt 2):036116. doi: 10.1103/PhysRevE.64.036116. Epub 2001 Aug 28.
Permeation of ions from one electrolytic solution to another, through a protein channel, is a biological process of considerable importance. Permeation occurs on a time scale of micro- to milliseconds, far longer than the femtosecond time scales of atomic motion. Direct simulations of atomic dynamics are not yet possible for such long-time scales; thus, averaging is unavoidable. The question is what and how to average. In this paper, we average a Langevin model of ionic motion in a bulk solution and protein channel. The main result is a coupled system of averaged Poisson and Nernst-Planck equations (CPNP) involving conditional and unconditional charge densities and conditional potentials. The resulting NP equations contain the averaged force on a single ion, which is the sum of two components. The first component is the gradient of a conditional electric potential that is the solution of Poisson's equation with conditional and permanent charge densities and boundary conditions of the applied voltage. The second component is the self-induced force on an ion due to surface charges induced only by that ion at dielectric interfaces. The ion induces surface polarization charge that exerts a significant force on the ion itself, not present in earlier PNP equations. The proposed CPNP system is not complete, however, because the electric potential satisfies Poisson's equation with conditional charge densities, conditioned on the location of an ion, while the NP equations contain unconditional densities. The conditional densities are closely related to the well-studied pair-correlation functions of equilibrium statistical mechanics. We examine a specific closure relation, which on the one hand replaces the conditional charge densities by the unconditional ones in the Poisson equation, and on the other hand replaces the self-induced force in the NP equation by an effective self-induced force. This effective self-induced force is nearly zero in the baths but is approximately equal to the self-induced force in and near the channel. The charge densities in the NP equations are interpreted as time averages over long times of the motion of a quasiparticle that diffuses with the same diffusion coefficient as that of a real ion, but is driven by the averaged force. In this way, continuum equations with averaged charge densities and mean-fields can be used to describe permeation through a protein channel.
离子通过蛋白质通道从一种电解液渗透到另一种电解液是一个相当重要的生物学过程。渗透发生的时间尺度为微秒到毫秒,远长于原子运动的飞秒时间尺度。对于如此长的时间尺度,目前还无法直接进行原子动力学模拟;因此,平均化是不可避免的。问题在于平均化的内容以及如何进行平均化。在本文中,我们对本体溶液和蛋白质通道中离子运动的朗之万模型进行了平均化处理。主要结果是得到了一个由平均泊松方程和能斯特 - 普朗克方程组成的耦合系统(CPNP),该系统涉及条件电荷密度、无条件电荷密度和条件电势。所得的能斯特 - 普朗克方程包含单个离子上的平均力,它由两个分量组成。第一个分量是条件电势的梯度,该条件电势是泊松方程的解,其具有条件电荷密度、永久电荷密度以及外加电压的边界条件。第二个分量是离子在电介质界面处仅由该离子自身诱导产生的表面电荷所引起的自感应力。离子诱导产生表面极化电荷,该电荷会对离子自身施加显著的力,这是早期能斯特 - 普朗克方程中所没有的。然而,所提出的CPNP系统并不完整,因为电势满足具有条件电荷密度的泊松方程,该条件电荷密度取决于离子的位置,而能斯特 - 普朗克方程包含无条件密度。条件密度与平衡统计力学中经过充分研究的对关联函数密切相关。我们研究了一种特定的封闭关系,一方面在泊松方程中用无条件电荷密度代替条件电荷密度,另一方面在能斯特 - 普朗克方程中用有效自感应力代替自感应力。这种有效自感应力在浴槽中几乎为零,但在通道内及通道附近近似等于自感应力。能斯特 - 普朗克方程中的电荷密度被解释为一个准粒子运动的长时间时间平均值,该准粒子以与真实离子相同的扩散系数扩散,但由平均力驱动。通过这种方式,具有平均电荷密度和平均场的连续方程可用于描述通过蛋白质通道的渗透过程。