Lindert Steffen, Bucher Denis, Eastman Peter, Pande Vijay, McCammon J Andrew
Department of Pharmacology, University of California San Diego , La Jolla, California 92093 United States ; Center for Theoretical Biological Physics, La Jolla, California 92093 United States.
Howard Hughes Medical Institute, University of California San Diego , La Jolla, California 92093 United States ; Department of Chemistry & Biochemistry, NSF Center for Theoretical Biological Physics, National Biomedical Computation Resource, University of California San Diego , La Jolla, California 92093, United States.
J Chem Theory Comput. 2013 Nov 12;9(11):4684-4691. doi: 10.1021/ct400514p. Epub 2013 Oct 15.
The accelerated molecular dynamics (aMD) method has recently been shown to enhance the sampling of biomolecules in molecular dynamics (MD) simulations, often by several orders of magnitude. Here, we describe an implementation of the aMD method for the OpenMM application layer that takes full advantage of graphics processing units (GPUs) computing. The aMD method is shown to work in combination with the AMOEBA polarizable force field (AMOEBA-aMD), allowing the simulation of long time-scale events with a polarizable force field. Benchmarks are provided to show that the AMOEBA-aMD method is efficiently implemented and produces accurate results in its standard parametrization. For the BPTI protein, we demonstrate that the protein structure described with AMOEBA remains stable even on the extended time scales accessed at high levels of accelerations. For the DNA repair metalloenzyme endonuclease IV, we show that the use of the AMOEBA force field is a significant improvement over fixed charged models for describing the enzyme active-site. The new AMOEBA-aMD method is publicly available (http://wiki.simtk.org/openmm/VirtualRepository) and promises to be interesting for studying complex systems that can benefit from both the use of a polarizable force field and enhanced sampling.
加速分子动力学(aMD)方法最近已被证明可在分子动力学(MD)模拟中增强生物分子的采样,采样效率通常可提高几个数量级。在此,我们描述了一种针对OpenMM应用层的aMD方法实现,该实现充分利用了图形处理单元(GPU)计算。结果表明,aMD方法可与AMOEBA可极化力场(AMOEBA-aMD)结合使用,从而能够使用可极化力场模拟长时间尺度的事件。提供的基准测试表明,AMOEBA-aMD方法得到了有效实现,并且在其标准参数化设置下能产生准确的结果。对于BPTI蛋白,我们证明即使在高加速水平下达到的延长时间尺度上,用AMOEBA描述的蛋白质结构仍保持稳定。对于DNA修复金属酶内切核酸酶IV,我们表明,在描述酶活性位点方面,使用AMOEBA力场比固定电荷模型有显著改进。新的AMOEBA-aMD方法已公开可用(http://wiki.simtk.org/openmm/VirtualRepository),有望为研究可从使用可极化力场和增强采样中受益的复杂系统提供助力。