Division of Life Science, Center for Computational Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan.
J Comput Chem. 2017 Dec 5;38(31):2671-2674. doi: 10.1002/jcc.25060. Epub 2017 Aug 31.
Parallel cascade selection molecular dynamics (PaCS-MD) is an enhanced conformational sampling method for searching structural transition pathways from a given reactant to a product. Recently, a temperature-aided PaCS-MD (Vinod et al., Eur. Biophys. J. 2016, 45, 463) has been proposed as its extension, in which the temperatures were introduced as additional parameters in conformational resampling, whereas the temperature is fixed in the original PaCS-MD. In the present study, temperature-shuffled PaCS-MD is proposed as a further extension of temperature-aided PaCS-MD in which the temperatures are shuffled among different replicas at the beginning of each cycle of conformational resampling. To evaluate their conformational sampling efficiencies, the original, temperature-aided, and temperature-shuffled PaCS-MD were applied to a protein-folding process of Trp-cage, and their minimum computational costs to identify the native state were addressed. Through the evaluation, it was confirmed that temperature-shuffled PaCS-MD remarkably accelerated the protein-folding process of Trp-cage compared with the other methods. © 2017 Wiley Periodicals, Inc.
平行级联选择分子动力学(PaCS-MD)是一种增强的构象采样方法,用于搜索从给定反应物到产物的结构转变途径。最近,作为其扩展,提出了一种温度辅助 PaCS-MD(Vinod 等人,Eur. Biophys. J. 2016, 45, 463),其中温度被引入构象重采样作为附加参数,而在原始 PaCS-MD 中温度是固定的。在本研究中,作为温度辅助 PaCS-MD 的进一步扩展,提出了温度随机 PaCS-MD,其中在每个构象重采样循环开始时,温度在不同副本之间进行随机化。为了评估它们的构象采样效率,将原始、温度辅助和温度随机 PaCS-MD 应用于 Trp-cage 的蛋白质折叠过程,并解决了识别天然状态的最小计算成本。通过评估,确认与其他方法相比,温度随机 PaCS-MD 显著加速了 Trp-cage 的蛋白质折叠过程。© 2017 Wiley Periodicals, Inc.