Tao Peng, Sodt Alexander J, Shao Yihan, König Gerhard, Brooks Bernard R
Department of Chemistry, Southern Methodist University , 3215 Daniel Avenue, Dallas, Texas 75275-0314, United States.
Laboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health , Bethesda, Maryland 20892, United States.
J Chem Theory Comput. 2014 Oct 14;10(10):4198-4207. doi: 10.1021/ct500342h. Epub 2014 Aug 15.
The calculations of potential of mean force along complex chemical reactions or rare events pathways are of great interest because of their importance for many areas in chemistry, molecular biology, and material science. The major difficulty for free energy calculations comes from the great computational cost for adequate sampling of the system in high-energy regions, especially close to the reaction transition state. Here, we present a method, called FEG-RBD, in which the free energy gradients were obtained from rigid body dynamics simulations. Then the free energy gradients were integrated along a reference reaction pathway to calculate free energy profiles. In a given system, the reaction coordinates defining a subset of atoms (e.g., a solute, or the quantum mechanics (QM) region of a quantum mechanics/molecular mechanics simulation) are selected to form a rigid body during the simulation. The first-order derivatives (gradients) of the free energy with respect to the reaction coordinates are obtained through the integration of constraint forces within the rigid body. Each structure along the reference reaction path is separately subjected to such a rigid body simulation. The individual free energy gradients are integrated along the reference pathway to obtain the free energy profile. Test cases provided demonstrate both the strengths and weaknesses of the FEG-RBD method. The most significant benefit of this method comes from the fast convergence rate of the free energy gradient using rigid-body constraints instead of restraints. A correction to the free energy due to approximate relaxation of the rigid-body constraint is estimated and discussed. A comparison with umbrella sampling using a simple test case revealed the improved sampling efficiency of FEG-RBD by a factor of 4 on average. The enhanced efficiency makes this method effective for calculating the free energy of complex chemical reactions when the reaction coordinate can be unambiguously defined by a small subset of atoms within the system.
由于平均力势计算对于化学、分子生物学和材料科学等许多领域都很重要,因此沿着复杂化学反应或稀有事件路径进行平均力势计算备受关注。自由能计算的主要困难在于,要在高能区域(特别是接近反应过渡态)对系统进行充分采样,计算成本很高。在此,我们提出一种名为FEG-RBD的方法,其中自由能梯度是通过刚体动力学模拟获得的。然后,沿着参考反应路径对自由能梯度进行积分,以计算自由能剖面图。在给定系统中,在模拟过程中选择定义原子子集(例如溶质,或量子力学/分子力学模拟中的量子力学(QM)区域)的反应坐标,以形成一个刚体。通过对刚体内部的约束力进行积分,获得自由能相对于反应坐标的一阶导数(梯度)。沿着参考反应路径的每个结构都分别进行这样的刚体模拟。将各个自由能梯度沿着参考路径进行积分,以获得自由能剖面图。所提供的测试案例展示了FEG-RBD方法的优缺点。该方法最显著的优点是,使用刚体约束而非限制时,自由能梯度的收敛速度很快。估计并讨论了由于刚体约束的近似松弛而对自由能进行的校正。通过一个简单测试案例与伞形采样进行比较,结果表明FEG-RBD的采样效率平均提高了4倍。当反应坐标可以由系统内一小部分原子明确界定时,这种提高的效率使该方法对于计算复杂化学反应的自由能有效。