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Unbiased Molecular Dynamics of 11 min Timescale Drug Unbinding Reveals Transition State Stabilizing Interactions

机译:11分钟时标药物释放的无偏分子动力学揭示了过渡态稳定相互作用

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Ligand (un)binding kinetics is being recognized as a determinant of drug specificity and efficacy in an increasing number of systems. However, the calculation of kinetics and the simulation of drug unbinding is more difficult than computing thermodynamic quantities, such as binding free energies. Here we present the first full simulations of an unbinding process at pharmacologically relevant time scales (11 min), without the use of biasing forces, detailed prior knowledge, or specialized processors using the weighted ensemble based algorithm, WExplore. These simulations show the inhibitor TPPU unbinding from its enzyme target soluble epoxide hydrolase, which is a clinically relevant target that has attracted interest in kinetics optimization in order to increase efficacy. We make use of conformation space networks that allow us to conceptualize unbinding not just as a linear process, but as a network of interconnected states that connect the bound and unbound states. This allows us to visualize patterns in hydrogen-bonding, solvation, and nonequilibrium free energies, without projection onto progress coordinates. The topology and layout of the network reveal multiple unbinding pathways, and other rare events, such as the reversal of ligand orientation within the binding site. Furthermore, we make a prediction of the transition state ensemble, using transition path theory, and identify protein–ligand interactions which are stabilizing to the transition state. Additionally, we uncover trends in ligand and binding site solvation that corroborate experimental evidence from more classical structure kinetics relationships and generate new questions as to the role of drug modifications in kinetics optimization. Finally, from only 6 μs of simulation time we observed 75 unbinding events from which we calculate a residence time of 42 s, and a standard error range of 23 to 280 s. This nearly encompasses the experimental residence time 11 min (660 s). In addition to the insights to sEH inhibitor unbinding, this study shows that simulations of complex processes on timescales as long as minutes are becoming feasible for more researchers to perform.
机译:配体(非)结合动力学被认为是越来越多系统中药物特异性和功效的决定因素。但是,动力学的计算和药物解离的模拟比计算热力学量(例如结合自由能)要困难得多。在这里,我们展示了在药理学相关的时间范围内(11分钟)的解键过程的第一个完整模拟,无需使用偏压力,详细的先验知识或使用基于加权合奏的算法WExplore的专用处理器。这些模拟显示抑制剂TPPU从其酶靶标可溶性环氧化物水解酶中解脱出来,该酶是临床相关靶标,已引起动力学优化以提高功效的关注。我们利用构象空间网络,使我们不仅可以将解绑定概念化为一个线性过程,而且可以将其作为连接绑定状态和未绑定状态的互连状态网络。这使我们可以可视化氢键,溶剂化和非平衡自由能中的模式,而无需投影到进度坐标上。网络的拓扑结构和布局揭示了多个解除结合的途径,以及其他罕见事件,例如结合位点内配体取向的逆转。此外,我们使用过渡路径理论对过渡态集合进行了预测,并确定了稳定至过渡态的蛋白质-配体相互作用。此外,我们发现配体和结合位点溶剂化的趋势可从更经典的结构动力学关系中证实实验证据,并产生有关药物修饰在动力学优化中的作用的新问题。最后,仅从6μs的仿真时间中,我们观察到75个解脱事件,据此我们可以计算出42 s的停留时间和23至280 s的标准误差范围。这几乎涵盖了11分钟(660 s)的实验停留时间。除了对sEH抑制剂释放的见解外,这项研究还表明,只要几分钟,就可以在时间范围内模拟复杂的过程,这对于更多的研究人员来说变得可行。

著录项

  • 来源
    《Journal of the American Chemical Society》 |2018年第2期|618-628|共11页
  • 作者

    Samuel D Lotz; Alex Dickson;

  • 作者单位

    Michigan State University, East Lansing, Michigan 48823, United States;

    Michigan State University, East Lansing, Michigan 48823, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 03:07:16

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