Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Computational Biophysics Laboratory (GRIB-IMIM), Universitat Pompeu Fabra, Barcelona Biomedical Research Park (PRBB), C Dr Aiguader 88, Barcelona, 08003, Spain.
Sci Rep. 2017 Sep 12;7(1):11255. doi: 10.1038/s41598-017-11483-8.
While the therapeutic effect of opioids analgesics is mainly attributed to µ-opioid receptor (MOR) activation leading to G protein signaling, their side effects have mostly been linked to β-arrestin signaling. To shed light on the dynamic and kinetic elements underlying MOR functional selectivity, we carried out close to half millisecond high-throughput molecular dynamics simulations of MOR bound to a classical opioid drug (morphine) or a potent G protein-biased agonist (TRV-130). Statistical analyses of Markov state models built using this large simulation dataset combined with information theory enabled, for the first time: a) Identification of four distinct metastable regions along the activation pathway, b) Kinetic evidence of a different dynamic behavior of the receptor bound to a classical or G protein-biased opioid agonist, c) Identification of kinetically distinct conformational states to be used for the rational design of functionally selective ligands that may eventually be developed into improved drugs; d) Characterization of multiple activation/deactivation pathways of MOR, and e) Suggestion from calculated transition timescales that MOR conformational changes are not the rate-limiting step in receptor activation.
虽然阿片类镇痛药的治疗效果主要归因于μ-阿片受体(MOR)的激活,从而导致 G 蛋白信号转导,但它们的副作用大多与β-arrestin 信号转导有关。为了阐明 MOR 功能选择性的动力学和动力学要素,我们对与经典阿片类药物(吗啡)或有效 G 蛋白偏向激动剂(TRV-130)结合的 MOR 进行了近半毫秒高通量分子动力学模拟。使用此大型模拟数据集构建的马尔可夫状态模型的统计分析与信息论相结合,首次实现了:a)在激活途径中鉴定出四个不同的亚稳定区域,b)有证据表明与经典或 G 蛋白偏向性阿片类激动剂结合的受体具有不同的动力学行为,c)鉴定出具有不同动力学特征的构象状态,用于合理设计功能选择性配体,最终可能开发成改良药物;d)对 MOR 多种激活/失活途径的表征,以及 e)根据计算出的转变时间尺度得出的建议,即 MOR 构象变化不是受体激活的限速步骤。