通过MD模拟探索多巴胺D2受体配体特异性激活动力学

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Samman Mansoor,  and , Giulia Morra*, 
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引用次数: 0

摘要

人G蛋白偶联受体(GPCR)多巴胺2受体(D2R)是抗精神病药物的重要靶点。不同激动剂诱导下游GPCR信号的调节,被称为功能选择性,对药物发现和副作用控制具有潜在的重大影响。然而,这种调制的分子起源尚不完全清楚。在这里,通过分子动力学模拟,在全原子分辨率下研究了D2R对内源性激动剂多巴胺、部分激动剂阿立哌唑和拮抗剂舒必利结合反应的结构决定因素。每个系统覆盖18 μs的多个副本使我们能够模拟配体的结合模式和远程效应,以及跨膜螺旋(TMs)和细胞内界面的特异性调制。多巴胺结合复合物维持TM3、TM5和TM6上的相互作用点,导致TM6向外移动所需的离子锁部分打开,而硫吡嗪的结合模式破坏了开关,从而整体改变了TM动力学,这在其他两种配体中是保守的。此外,我们预测部分激动剂阿立哌唑对细胞外环EL2、TM5的n端构象和TM4的动力学都有显著影响,这反过来又诱导细胞内环IL2在细胞内侧的扰动。后者失去了其螺旋构象,导致在蛋白质-蛋白质对接计算实验中不能胜任抑制蛋白结合的结构。这些结构变化伴随着胆固醇与受体相互作用的调节。我们的模型表明,阿立哌唑可能通过破坏TM5的疏水结合袋的稳定性,将TM4和TM5调节到细胞内侧,从而导致阻滞蛋白募集不良,这与之前的突变数据一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Insights into Ligand-Specific Activation Dynamics of Dopamine D2 Receptor Explored by MD Simulations

Insights into Ligand-Specific Activation Dynamics of Dopamine D2 Receptor Explored by MD Simulations

The human G protein-coupled receptor (GPCR) dopamine 2 receptor (D2R) is an essential target of antipsychotic drugs. The modulation of downstream GPCR signaling induced by different agonists, termed functional selectivity, has potentially a great impact on drug discovery and control of side effects. The molecular origin of this modulation is, however, not fully understood. Here, the structural determinants underlying the response of D2R to binding of the endogenous agonist dopamine, the partial agonist aripiprazole, and the antagonist sulpiride are investigated at full atomistic resolution by molecular dynamics simulations. Multiple replicas covering 18 μs per system allow us to model binding mode and long-range effects of ligands and specifically modulation at the transmembrane helices (TMs) and at the intracellular interface. The dopamine-bound complex maintains the interaction points on TM3, TM5, and TM6 that lead to partial opening of the ionic lock required for the outward movement of TM6, whereas the binding mode of sulpiride disrupts the toggle switch, thereby globally altering the TM dynamics, which is conserved in the other two ligands. Moreover, we predict a significant impact of the partial agonist aripiprazole both on the extracellular loop EL2, on the N-terminal conformation of TM5, and on the dynamics of TM4, which in turn induces the perturbation of intracellular loop IL2 at the intracellular side. The latter loses its helical conformation, leading to a structure that is not competent for arrestin binding in a protein–protein docking computational experiment. These structural changes are accompanied by a modulation of cholesterol interactions with the receptor. Our model suggests that aripiprazole might cause poor arrestin recruitment by modulating TM4 and TM5 down to the intracellular side through the destabilization of a hydrophobic binding pocket at TM5, in agreement with previous mutational data.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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