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LowModeMD--应用于大环和蛋白质环构象搜索的隐式低模态速度滤波。

LowModeMD--implicit low-mode velocity filtering applied to conformational search of macrocycles and protein loops.

机构信息

Chemical Computing Group, Inc., 1010 Sherbrooke St. W., Suite 910, Montreal H3A 2R7, Quebec, Canada.

出版信息

J Chem Inf Model. 2010 May 24;50(5):792-800. doi: 10.1021/ci900508k.

Abstract

We present a method for conformational search of complex molecular systems such as macrocycles and protein loops. The method is based on perturbing an existing conformation along a molecular dynamics trajectory using initial atomic velocities with kinetic energy concentrated on the low-frequency vibrational modes, followed by energy minimization. A novel Chebyshev polynomial filter is used to heavily dampen the high-frequency components of a randomly generated Maxwell-Boltzmann velocity vector. The method is very efficient, even for large systems; it is straightforward to implement and requires only standard force-field energy and gradient evaluations. The results of several computational experiments suggest that the method is capable of efficiently sampling low-strain energy conformations of complex systems with nontrivial nonbonded interaction networks.

摘要

我们提出了一种针对复杂分子体系(如大环和蛋白质环)构象搜索的方法。该方法基于沿着分子动力学轨迹对现有构象进行微扰,使用具有低频率振动模式动能的初始原子速度,然后进行能量最小化。我们使用一种新颖的切比雪夫多项式滤波器来强烈衰减随机生成的麦克斯韦-玻尔兹曼速度矢量的高频分量。该方法非常高效,即使对于大型系统也是如此;它易于实现,只需要标准力场能量和梯度评估。几个计算实验的结果表明,该方法能够有效地对具有复杂非键相互作用网络的复杂体系进行低应变能构象采样。

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