Singer A, Schuss Z
Department of Applied Mathematics, Tel-Aviv University, Ramat-Aviv, 69978 Tel-Aviv, Israel.
Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Feb;71(2 Pt 2):026115. doi: 10.1103/PhysRevE.71.026115. Epub 2005 Feb 16.
The prediction of ionic currents in protein channels of biological membranes is one of the central problems of computational molecular biophysics. Existing continuum descriptions of ionic permeation fail to capture the rich phenomenology of the permeation process, so it is therefore necessary to resort to particle simulations. Brownian dynamics (BD) simulations require the connection of a small discrete simulation volume to large baths that are maintained at fixed concentrations and voltages. The continuum baths are connected to the simulation through interfaces, located in the baths sufficiently far from the channel. Average boundary concentrations have to be maintained at their values in the baths by injecting and removing particles at the interfaces. The particles injected into the simulation volume represent a unidirectional diffusion flux, while the outgoing particles represent the unidirectional flux in the opposite direction. The classical diffusion equation defines net diffusion flux, but not unidirectional fluxes. The stochastic formulation of classical diffusion in terms of the Wiener process leads to a Wiener path integral, which can split the net flux into unidirectional fluxes. These unidirectional fluxes are infinite, though the net flux is finite and agrees with classical theory. We find that the infinite unidirectional flux is an artifact caused by replacing the Langevin dynamics with its Smoluchowski approximation, which is classical diffusion. The Smoluchowski approximation fails on time scales shorter than the relaxation time 1/gamma of the Langevin equation. We find that the probability of Brownian trajectories that cross an interface in one direction in unit time Deltat equals that of the probability of the corresponding Langevin trajectories if gammaDeltat=2 . That is, we find the unidirectional flux (source strength) needed to maintain average boundary concentrations in a manner consistent with the physics of Brownian particles. This unidirectional flux is proportional to the concentration and inversely proportional to sqrt[Deltat ] to leading order. We develop a BD simulation that maintains fixed average boundary concentrations in a manner consistent with the actual physics of the interface and without creating spurious boundary layers.
生物膜蛋白质通道中离子电流的预测是计算分子生物物理学的核心问题之一。现有的离子渗透连续介质描述无法捕捉渗透过程丰富的现象学,因此有必要采用粒子模拟。布朗动力学(BD)模拟需要将一个小的离散模拟体积与保持固定浓度和电压的大浴相连。连续介质浴通过位于浴中离通道足够远的界面与模拟相连。必须通过在界面处注入和移除粒子来将平均边界浓度维持在浴中的值。注入到模拟体积中的粒子代表单向扩散通量,而流出的粒子代表相反方向的单向通量。经典扩散方程定义的是净扩散通量,而非单向通量。基于维纳过程的经典扩散的随机公式会导致一个维纳路径积分,它可以将净通量分解为单向通量。尽管净通量是有限的且与经典理论一致,但这些单向通量是无穷大的。我们发现无穷大的单向通量是用其斯莫卢霍夫斯基近似(即经典扩散)替代朗之万动力学所导致的假象。斯莫卢霍夫斯基近似在短于朗之万方程弛豫时间1/γ的时间尺度上失效。我们发现,如果γΔt = 2,单位时间Δt内沿一个方向穿过界面的布朗轨迹的概率等于相应朗之万轨迹的概率。也就是说,我们找到了以与布朗粒子物理学一致的方式维持平均边界浓度所需的单向通量(源强度)。这个单向通量与浓度成正比,与√Δt成反比,至主导阶次。我们开发了一种BD模拟,它以与界面实际物理学一致的方式维持固定的平均边界浓度,且不会产生虚假的边界层。