Centre for Computational Science, Department of Chemistry, University College London, London, WC1H 0AJ, United Kingdom.
Janssen Research & Development, Turnhoutseweg 30, B-2340, Beerse, Belgium.
Sci Rep. 2019 Apr 12;9(1):6017. doi: 10.1038/s41598-019-41758-1.
As the application of computational methods in drug discovery pipelines becomes more widespread it is increasingly important to understand how reproducible their results are and how sensitive they are to choices made in simulation setup and analysis. Here we use ensemble simulation protocols, termed ESMACS (enhanced sampling of molecular dynamics with approximation of continuum solvent), to investigate the sensitivity of the popular molecular mechanics Poisson-Boltzmann surface area (MMPBSA) methodology. Using the bromodomain-containing protein 4 (BRD4) system bound to a diverse set of ligands as our target, we show that robust rankings can be produced only through combining ensemble sampling with multiple trajectories and enhanced solvation via an explicit ligand hydration shell.
随着计算方法在药物发现管道中的应用越来越广泛,了解它们的结果的可重复性以及它们对模拟设置和分析中做出的选择的敏感性变得越来越重要。在这里,我们使用了称为 ESMACS(基于连续溶剂近似的分子动力学增强采样)的组合模拟协议来研究流行的分子力学泊松-玻尔兹曼表面积(MMPBSA)方法的敏感性。使用结合了多种配体的含溴结构域蛋白 4(BRD4)系统作为我们的靶标,我们表明只有通过将组合采样与多个轨迹以及通过显式配体水合壳增强溶剂化相结合,才能生成可靠的排序。