Department of Chemistry, University of California, Irvine, California 92617, United States.
Department of Pharmaceutical Sciences, University of California, Irvine, California 92617, United States.
J Chem Theory Comput. 2021 Jan 12;17(1):302-314. doi: 10.1021/acs.jctc.0c00752. Epub 2020 Dec 8.
Sampling multiple binding modes of a ligand in a single molecular dynamics simulation is difficult. A given ligand may have many internal degrees of freedom, along with many different ways it might orient itself in a binding site or across several binding sites, all of which might be separated by large energy barriers. We have developed a novel Monte Carlo move called molecular darting (MolDarting) to reversibly sample between predefined binding modes of a ligand. Here, we couple this with nonequilibrium candidate Monte Carlo (NCMC) to improve acceptance of moves. We apply this technique to a simple dipeptide system, a ligand binding to T4 lysozyme L99A, and ligand binding to HIV integrase to test this new method. We observe significant increases in acceptance compared to uniformly sampling the internal and rotational/translational degrees of freedom in these systems.
在单个分子动力学模拟中采样配体的多种结合模式是困难的。给定的配体可能具有许多内部自由度,以及它在结合部位或跨越几个结合部位的多种不同取向方式,所有这些都可能被大的能量势垒隔开。我们开发了一种新的蒙特卡罗移动,称为分子飞镖(MolDarting),以可逆地在配体的预定义结合模式之间进行采样。在这里,我们将其与非平衡候选蒙特卡罗(NCMC)相结合,以提高移动的接受率。我们将该技术应用于一个简单的二肽系统,配体与 T4 溶菌酶 L99A 的结合,以及配体与 HIV 整合酶的结合,以测试这种新方法。与在这些系统中均匀地采样内部和旋转/平移自由度相比,我们观察到接受率的显著增加。