Department of Physiology and Biophysics, School of Medicine, Case Western Reserve University, Cleveland, Ohio 44106, USA.
J Comput Chem. 2009 Dec;30(16):2635-44. doi: 10.1002/jcc.21246.
A realistic representation of water molecules is important in molecular dynamics simulation of proteins. However, the standard method of solvating biomolecules, that is, immersing them in a box of water with periodic boundary conditions, is computationally expensive. The primary hydration shell (PHS) method, developed more than a decade ago and implemented in CHARMM, uses only a thin shell of water around the system of interest, and so greatly reduces the computational cost of simulations. Applying the PHS method, especially to larger proteins, revealed that further optimization and a partial reworking was required and here we present several improvements to its performance. The model is applied to systems with different sizes, and both water and protein behaviors are compared with those observed in standard simulations with periodic boundary conditions and, in some cases, with experimental data. The advantages of the modified PHS method over its original implementation are clearly apparent when it is applied to simulating the 82 kDa protein Malate Synthase G.
水分子的真实表示在蛋白质的分子动力学模拟中非常重要。然而,标准的生物分子溶剂化方法,即将它们浸入具有周期性边界条件的盒子中的水,计算成本很高。十多年前开发并在 CHARMM 中实现的主要水合壳(PHS)方法仅使用感兴趣系统周围的一层薄水壳,从而大大降低了模拟的计算成本。应用 PHS 方法,特别是对于较大的蛋白质,表明需要进一步优化和部分重新设计,在此我们提出了对其性能的一些改进。该模型应用于不同大小的系统,并且比较了水和蛋白质的行为与在具有周期性边界条件的标准模拟中观察到的行为,并且在某些情况下与实验数据进行了比较。当应用于模拟 82 kDa 蛋白质苹果酸合成酶 G 时,改进的 PHS 方法相对于其原始实现的优势显然明显。