Buchete Nicolae-Viorel, Hummer Gerhard
Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, USA.
J Phys Chem B. 2008 May 15;112(19):6057-69. doi: 10.1021/jp0761665. Epub 2008 Jan 31.
We construct coarse master equations for peptide folding dynamics from atomistic molecular dynamics simulations. A maximum-likelihood propagator-based method allows us to extract accurate rates for the transitions between the different conformational states of the small helix-forming peptide Ala5. Assigning the conformational states by using transition paths instead of instantaneous molecular coordinates suppresses the effects of fast non-Markovian dynamics. The resulting master equations are validated by comparing their analytical correlation functions with those obtained directly from the molecular dynamics simulations. We find that the master equations properly capture the character and relaxation times of the entire spectrum of conformational relaxation processes. By using the eigenvectors of the transition rate matrix, we are able to systematically coarse-grain the system. We find that a two-state description, with a folded and an unfolded state, roughly captures the slow conformational dynamics. A four-state model, with two folded and two unfolded states, accurately recovers the three slowest relaxation process with time scales between 1.5 and 7 ns. The master equation models not only give access to the slow conformational dynamics but also shed light on the molecular mechanisms of the helix-coil transition.
我们从原子分子动力学模拟构建肽折叠动力学的粗粒化主方程。基于最大似然传播子的方法使我们能够提取小螺旋形成肽Ala5不同构象状态之间转变的准确速率。通过使用过渡路径而非瞬时分子坐标来指定构象状态,抑制了快速非马尔可夫动力学的影响。通过将所得主方程的解析相关函数与直接从分子动力学模拟获得的相关函数进行比较,对主方程进行了验证。我们发现主方程能够恰当地捕捉构象弛豫过程整个谱的特征和弛豫时间。通过使用跃迁速率矩阵的特征向量,我们能够系统地对系统进行粗粒化。我们发现,具有折叠态和未折叠态的两态描述大致捕捉了缓慢的构象动力学。具有两个折叠态和两个未折叠态的四态模型准确地恢复了时间尺度在1.5到7纳秒之间的三个最慢弛豫过程。主方程模型不仅能揭示缓慢的构象动力学,还能阐明螺旋 - 卷曲转变的分子机制。