RIKEN Advanced Institute for Computational Science, 7-1-26 Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, Japan.
JST, CREST, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan.
J Chem Phys. 2014 Mar 28;140(12):125103. doi: 10.1063/1.4869594.
A powerful conformational sampling method for accelerating structural transitions of proteins, "Fluctuation Flooding Method (FFM)," is proposed. In FFM, cycles of the following steps enhance the transitions: (i) extractions of largely fluctuating snapshots along anisotropic modes obtained from trajectories of multiple independent molecular dynamics (MD) simulations and (ii) conformational re-sampling of the snapshots via re-generations of initial velocities when re-starting MD simulations. In an application to bacteriophage T4 lysozyme, FFM successfully accelerated the open-closed transition with the 6 ns simulation starting solely from the open state, although the 1-μs canonical MD simulation failed to sample such a rare event.
提出了一种用于加速蛋白质结构转变的强大构象采样方法,即“涨落洪水法(FFM)”。在 FFM 中,通过以下步骤的循环来增强转变:(i)从多个独立分子动力学(MD)模拟轨迹中获得的各向异性模式的大幅波动快照的提取,以及(ii)通过在重新启动 MD 模拟时重新生成初始速度对快照进行构象重采样。在噬菌体 T4 溶菌酶的应用中,FFM 成功地加速了从开状态开始的仅 6 ns 模拟的开-闭转变,尽管 1 μs 的经典 MD 模拟未能采样到如此罕见的事件。