Mori Takaharu, Miyashita Naoyuki, Im Wonpil, Feig Michael, Sugita Yuji
iTHES Research Group and Theoretical Molecular Science Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.
Laboratory for Biomolecular Function Simulation, RIKEN Quantitative Biology Center, Integrated Innovation Building 7F, 6-7-1 Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan; Faculty of Biology-Oriented Science and Technology, KINDAI University, 930 Nishimitani, Kinokawa, Wakayama 649-6493, Japan.
Biochim Biophys Acta. 2016 Jul;1858(7 Pt B):1635-51. doi: 10.1016/j.bbamem.2015.12.032. Epub 2016 Jan 5.
This paper reviews various enhanced conformational sampling methods and explicit/implicit solvent/membrane models, as well as their recent applications to the exploration of the structure and dynamics of membranes and membrane proteins. Molecular dynamics simulations have become an essential tool to investigate biological problems, and their success relies on proper molecular models together with efficient conformational sampling methods. The implicit representation of solvent/membrane environments is reasonable approximation to the explicit all-atom models, considering the balance between computational cost and simulation accuracy. Implicit models can be easily combined with replica-exchange molecular dynamics methods to explore a wider conformational space of a protein. Other molecular models and enhanced conformational sampling methods are also briefly discussed. As application examples, we introduce recent simulation studies of glycophorin A, phospholamban, amyloid precursor protein, and mixed lipid bilayers and discuss the accuracy and efficiency of each simulation model and method. This article is part of a Special Issue entitled: Membrane Proteins edited by J.C. Gumbart and Sergei Noskov.
本文综述了各种增强构象采样方法以及显式/隐式溶剂/膜模型,以及它们最近在探索膜和膜蛋白的结构与动力学方面的应用。分子动力学模拟已成为研究生物学问题的重要工具,其成功依赖于合适的分子模型以及高效的构象采样方法。考虑到计算成本和模拟精度之间的平衡,溶剂/膜环境的隐式表示是对显式全原子模型的合理近似。隐式模型可以很容易地与副本交换分子动力学方法相结合,以探索蛋白质更广泛的构象空间。还简要讨论了其他分子模型和增强构象采样方法。作为应用实例,我们介绍了最近对血型糖蛋白A、受磷蛋白、淀粉样前体蛋白以及混合脂质双层的模拟研究,并讨论了每个模拟模型和方法的准确性和效率。本文是由J.C. Gumbart和Sergei Noskov编辑的名为《膜蛋白》的特刊的一部分。