Zhang Wei, Wu Chun, Duan Yong
Department of Chemistry and Biochemistry, University of Delaware, Newark, Delaware 19716, USA.
J Chem Phys. 2005 Oct 15;123(15):154105. doi: 10.1063/1.2056540.
Replica exchange molecular dynamics (REMD) method is one of the generalized-ensemble algorithms which performs random walk in energy space and helps a system to escape from local energy traps. In this work, we studied the accuracy and efficiency of REMD by examining its ability to reproduce the results of multiple extended conventional molecular dynamics (MD) simulations and to enhance conformational sampling. Two sets of REMD simulations with different initial configurations, one from the fully extended and the other from fully helical conformations, were conducted on a fast-folding 21-amino-acid peptide with a continuum solvent model. Remarkably, the two REMD simulation sets started to converge even within 1.0 ns, despite their dramatically different starting conformations. In contrast, the conventional MD within the same time and with identical starting conformations did not show obvious signs of convergence. Excellent convergence between the REMD sets for T>300 K was observed after 14.0 ns REMD simulations as measured by the average helicity and free-energy profiles. We also conducted a set of 45 MD simulations at nine different temperatures with each trajectory simulated to 100.0 and 200.0 ns. An excellent agreement between the REMD and the extended MD simulation results was observed for T>300 K, showing that REMD can accurately reproduce long-time MD results with high efficiency. The autocorrelation times of the calculated helicity demonstrate that REMD can significantly enhance the sampling efficiency by 14.3+/-6.4, 35.1+/-0.2, and 71.5+/-20.4 times at, respectively, approximately 360, approximately 300, and approximately 275 K in comparison to the regular MD. Convergence was less satisfactory at low temperatures (T<300 K) and a slow oscillatory behavior suggests that longer simulation time was needed to reach equilibrium. Other technical issues, including choice of exchange frequency, were also examined.
复制交换分子动力学(REMD)方法是广义系综算法之一,它在能量空间中进行随机游走,帮助系统逃离局部能量陷阱。在这项工作中,我们通过检验REMD重现多个扩展常规分子动力学(MD)模拟结果以及增强构象采样的能力,研究了其准确性和效率。使用连续溶剂模型,对一个快速折叠的21个氨基酸的肽进行了两组具有不同初始构型的REMD模拟,一组来自完全伸展构象,另一组来自完全螺旋构象。值得注意的是,尽管两组REMD模拟的起始构象差异巨大,但它们在1.0 ns内就开始收敛。相比之下,相同时间且具有相同起始构象的常规MD没有显示出明显的收敛迹象。通过平均螺旋度和自由能分布测量,在14.0 ns的REMD模拟后,观察到T>300 K时两组REMD之间有出色的收敛。我们还在九个不同温度下进行了一组45次MD模拟,每个轨迹模拟到100.0和200.0 ns。对于T>300 K,观察到REMD和扩展MD模拟结果之间有出色的一致性,表明REMD能够高效准确地重现长时间的MD结果。计算得到的螺旋度的自相关时间表明,与常规MD相比,REMD在大约360 K、大约300 K和大约275 K时,分别能将采样效率显著提高14.3±6.4倍、35.1±0.2倍和71.5±20.4倍。在低温(T<300 K)下收敛不太令人满意,缓慢的振荡行为表明需要更长的模拟时间才能达到平衡。还研究了包括交换频率选择在内的其他技术问题。