Department of Chemistry and Biochemistry , University of Maryland , College Park , Maryland 20742 , United States.
Institute for Physical Science and Technology , University of Maryland , College Park , Maryland 20742 , United States.
Biochemistry. 2019 Jan 22;58(3):156-165. doi: 10.1021/acs.biochem.8b00977. Epub 2018 Dec 28.
Large parallel gains in the development of both computational resources and sampling methods have now made it possible to simulate dissociation events in ligand-protein complexes with all-atom resolution. Such encouraging progress, together with the inherent spatiotemporal resolution associated with molecular simulations, has left their use for investigating dissociation processes brimming with potential, both in rational drug design, where it can be an invaluable tool for determining the mechanistic driving forces behind dissociation rate constants, and in force-field development, where it can provide a catalog of transient molecular structures with which to refine force fields. Although much progress has been made in making force fields more accurate, reducing their error for transient structures along a transition path could yet prove to be a critical development helping to make kinetic predictions much more accurate. In what follows, we will provide a state-of-the-art compilation of the enhanced sampling methods based on molecular dynamics (MD) simulations used to investigate the kinetics and mechanisms of ligand-protein dissociation processes. Due to the time scales of such processes being slower than what is accessible using straightforward MD simulations, several ingenious schemes are being devised at a rapid rate to overcome this obstacle. Here we provide an up-to-date compendium of such methods and their achievements and shortcomings in extracting mechanistic insight into ligand-protein dissociation. We conclude with a critical and provocative appraisal attempting to answer the title of this Perspective.
大型并行计算资源和采样方法的发展现在已经使得可以使用全原子分辨率模拟配体-蛋白质复合物中的离解事件。这种令人鼓舞的进展,以及分子模拟固有的时空分辨率,使得它们在研究离解过程中具有很大的潜力,无论是在合理药物设计中,它可以成为确定离解速率常数背后的机械驱动力的宝贵工具,还是在力场开发中,它可以提供一个瞬态分子结构目录,用于改进力场。尽管在使力场更准确方面已经取得了很大进展,但减少过渡路径上瞬态结构的误差可能仍然是一个关键的发展,有助于使动力学预测更加准确。在接下来的内容中,我们将提供一个基于分子动力学 (MD) 模拟的增强采样方法的最新综述,用于研究配体-蛋白质离解过程的动力学和机制。由于这些过程的时间尺度比直接使用 MD 模拟所能达到的时间尺度慢,因此正在迅速设计几种巧妙的方案来克服这一障碍。在这里,我们提供了这些方法及其在提取配体-蛋白质离解机制见解方面的成就和缺点的最新概述。我们以批判性和挑衅性的评估作为结论,试图回答本观点的标题。