Liu Pu, Voth Gregory A
Center for Biophysical Modeling and Simulation, University of Utah, Salt Lake City, Utah 84112-0850, USA.
J Chem Phys. 2007 Jan 28;126(4):045106. doi: 10.1063/1.2408415.
A coarse-grained representation of a condensed phase system can significantly reduce the number of system degrees of freedom, making coarse-grained simulations very computationally efficient. Moreover, coarse graining can smoothen the free energy landscape of the system. Thus coarse-grained dynamics is usually faster than its fully atomistic counterpart. In this work, the smart resolution replica exchange method is introduced that incorporates the information from coarse-grained simulations into atomistic simulations in order to accelerate the sampling of rough, complex atomistic energy landscapes. Within this methodology, interactions between particles are defined by a potential energy that interpolates between a fully atomistic potential and a fully coarse-grained effective potential according to a parameter lambda. Instead of exchanging the configurations from neighboring resolutions directly, as has been done in the resolution replica exchange methods [E. Lyman et al., Phys. Rev. Lett. 96, 028105 (2006); M. Christen and W. F. v. Gunsteren, J. Chem. Phys. 124, 154106 (2006)], the configuration described at the coarser resolution is first relaxed before an exchange is attempted, similar to the smart walking method [R. Zhou and B. J. Berne, J. Chem. Phys. 107, 9185 (1997)]. This approach greatly increases the acceptance ratio of exchange and only two replicas, one at the atomistic level and one at the coarse-grained level, are usually required (although more can be implemented if desired). This new method can approximately obtain the correct canonical sampling if the exchange interval is sufficiently large to allow the system to explore the local energy landscape. The method is demonstrated for a two-dimensional model system, where the ideal population distribution can be recovered, and also for an alanine polypeptide (Ala(15)) model with explicit water, where its native structure, an alpha helix, is obtained from the extended structure within 1 ns.
凝聚相系统的粗粒度表示可以显著减少系统自由度的数量,使得粗粒度模拟在计算上非常高效。此外,粗粒化可以使系统的自由能景观变得平滑。因此,粗粒度动力学通常比其全原子对应物更快。在这项工作中,引入了智能分辨率副本交换方法,该方法将粗粒度模拟的信息纳入原子模拟中,以加速对粗糙、复杂的原子能量景观的采样。在这种方法中,粒子之间的相互作用由势能定义,该势能根据参数λ在全原子势能和全粗粒度有效势能之间进行插值。与分辨率副本交换方法[E. Lyman等人,《物理评论快报》96,028105(2006年);M. Christen和W. F. v. Gunsteren,《化学物理杂志》124,154106(2006年)]中直接交换相邻分辨率的构型不同,在尝试交换之前,首先对较粗分辨率描述的构型进行松弛,这类似于智能行走方法[R. Zhou和B. J. Berne,《化学物理杂志》107,9185(1997年)]。这种方法大大提高了交换的接受率,通常只需要两个副本,一个在原子水平,一个在粗粒度水平(尽管如果需要可以实现更多)。如果交换间隔足够大,允许系统探索局部能量景观,这种新方法可以近似获得正确的正则采样。该方法在二维模型系统中得到了验证,在该系统中可以恢复理想的种群分布,同时也在具有明确水的丙氨酸多肽(Ala(15))模型中得到了验证,在该模型中,其天然结构α螺旋在1 ns内从伸展结构中获得。