阿片与μ-阿片受体及周围脂质膜相互作用的粗粒度MD模拟

Sourav Ray, K. Fackeldey, C. Stein, M. Weber
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引用次数: 0

摘要

在我们之前的研究中,我们开发了一种新的阿片类药物(NFEPP),它只能选择性地与炎症组织中的μ-阿片受体(MOR)结合,从而避免了芬太尼的严重副作用。我们知道,在健康组织中,NFEPP与MOR的结合亲和力降低。受Sutcliffe等人的建模和模拟的启发,我们提出了芬太尼和NFEPP与嵌入脂质细胞膜内的μ-阿片受体相互作用的粗粒度分子动力学模拟结果。出于技术原因,我们稍微修改了Sutcliffe对阿片类药物的参数化。pH依赖性阿片类药物模拟很有趣,因为当芬太尼在生理pH下质子化时,NFEPP由于其pKa值低于芬太尼而去质子化。在这里,我们首次分析了pH变化是否对NFEPP在细胞膜内的动力学行为有影响。除了这些变化之外,我们的分析还表明,在pH 7.4时,NFEPP在MOR结合区域外可能存在另一种相互作用。通过统计分子动力学模拟,结合过渡速率矩阵的特征向量分析,描述了NFEPP与MOR的相互作用势。在我们的模型中,我们看到NFEPP与芬太尼在细胞膜中的xy扩散谱的差异。
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Coarse-Grained MD Simulations of Opioid Interactions with the μ-Opioid Receptor and the Surrounding Lipid Membrane
In our previous studies, a new opioid (NFEPP) was developed to only selectively bind to the μ-opoid receptor (MOR) in inflamed tissue and thus avoid the severe side effects of fentanyl. We know that NFEPP has a reduced binding affinity to MOR in healthy tissue. Inspired by the modelling and simulations performed by Sutcliffe et al., we present our own results of coarse-grained molecular dynamics simulations of fentanyl and NFEPP with regards to their interaction with the μ-opioid receptor embedded within the lipid cell membrane. For technical reasons, we have slightly modified Sutcliffe’s parametrisation of opioids. The pH-dependent opioid simulations are of interest because while fentanyl is protonated at the physiological pH, NFEPP is deprotonated due to its lower pKa value than that of fentanyl. Here, we analyse for the first time whether pH changes have an effect on the dynamical behaviour of NFEPP when it is inside the cell membrane. Besides these changes, our analysis shows a possible alternative interaction of NFEPP at pH 7.4 outside the binding region of the MOR. The interaction potential of NFEPP with MOR is also depicted by analysing the provided statistical molecular dynamics simulations with the aid of an eigenvector analysis of a transition rate matrix. In our modelling, we see differences in the XY-diffusion profiles of NFEPP compared with fentanyl in the cell membrane.
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