Department of Physics and Centre for Scientific Computing, University of Warwick, Coventry CV4 7AL, UK.
Phys Biol. 2012 Feb;9(1):016008. doi: 10.1088/1478-3975/9/1/016008. Epub 2012 Feb 7.
Protein function frequently involves conformational changes with large amplitude on timescales which are difficult and computationally expensive to access using molecular dynamics. In this paper, we report on the combination of three computationally inexpensive simulation methods--normal mode analysis using the elastic network model, rigidity analysis using the pebble game algorithm, and geometric simulation of protein motion--to explore conformational change along normal mode eigenvectors. Using a combination of ElNemo and First/Froda software, large-amplitude motions in proteins with hundreds or thousands of residues can be rapidly explored within minutes using desktop computing resources. We apply the method to a representative set of six proteins covering a range of sizes and structural characteristics and show that the method identifies specific types of motion in each case and determines their amplitude limits.
蛋白质的功能通常涉及构象变化,其幅度很大,使用分子动力学难以在计算上进行访问,且成本很高。在本文中,我们报告了三种计算成本低廉的模拟方法的结合使用,即使用弹性网络模型的正常模式分析、使用卵石游戏算法的刚性分析,以及蛋白质运动的几何模拟,以探索沿着正常模式特征向量的构象变化。使用 ElNemo 和 First/Froda 软件的组合,可以在几分钟内使用桌面计算资源快速探索具有数百或数千个残基的蛋白质的大振幅运动。我们将该方法应用于一组具有代表性的六个蛋白质,涵盖了一系列大小和结构特征,结果表明该方法在每种情况下都能识别出特定类型的运动,并确定其幅度极限。