Computational Science, Department of Chemistry and Applied Biosciences, ETH Zurich, USI Campus, Lugano, Switzerland.
Biophys J. 2010 May 19;98(9):L44-6. doi: 10.1016/j.bpj.2010.01.033.
Linking experiments with the atomistic resolution provided by molecular dynamics simulations can shed light on the structure and dynamics of protein-disordered states. The sampling limitations of classical molecular dynamics can be overcome using metadynamics, which is based on the introduction of a history-dependent bias on a small number of suitably chosen collective variables. Even if such bias distorts the probability distribution of the other degrees of freedom, the equilibrium Boltzmann distribution can be reconstructed using a recently developed reweighting algorithm. Quantitative comparison with experimental data is thus possible. Here we show the potential of this combined approach by characterizing the conformational ensemble explored by a 13-residue helix-forming peptide by means of a well-tempered metadynamics/parallel tempering approach and comparing the reconstructed nuclear magnetic resonance scalar couplings with experimental data.
将实验与分子动力学模拟提供的原子分辨率相结合,可以深入了解蛋白质无序状态的结构和动力学。使用基于少数适当选择的集体变量上的历史相关偏差的元动力学可以克服经典分子动力学的采样限制。即使这种偏差扭曲了其他自由度的概率分布,也可以使用最近开发的重新加权算法来重建平衡玻尔兹曼分布。因此,可以进行与实验数据的定量比较。在这里,我们通过使用良好调谐的元动力学/平行温度方法来描述由 13 个残基组成的螺旋形成肽所探索的构象集合,并将重建的核磁共振标量耦合与实验数据进行比较,展示了这种组合方法的潜力。