大麻素与GABAA受体结合的结构和动力学。

IF 3.2 4区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Lautaro Damian Alvarez, N R Carina Alves
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引用次数: 0

摘要

医用大麻的研究正在取得进展,几种大麻素正在成为临床使用的有前途的化合物。现有证据表明,大麻素可能调节甘氨酸受体(GlyR)和GABAA受体,它们是五聚体配体门控离子通道(plgic)超家族的一部分,促进神经系统中的化学通讯。在之前的研究中,我们采用分子动力学(MD)模拟来阐明GlyR/Δ9-tetrahydrocannabinol (THC)复合物的动力学,并成功地确定了一种具有代表性的结合模式。考虑到GlyR和GABAAR之间的结构相似性,我们采用了类似的策略来研究GABAAR-大麻素的相互作用。我们初步评估了THC在glyr的等效结合位点(即其两个α-亚基)上与GABAAR-α1β2γ2的结合方式,以及这种结合对通道尺寸的影响。我们的研究结果表明,首先,THC与GABAAR和GlyR的结合模式具有相似的特征,其次,由于通道孔的显著开放,THC可能作为GABA活性的增强剂。此外,我们的目标是减少与探索绑定模式相关的总体计算成本。为此,我们开发并验证了一个简化的模型,包括大麻素结合研究的单体系统。该模型被证明是准确且具有成本效益的,加速了硅筛选过程,并允许通过对接和MD模拟研究gabaar -大麻素的结合。此外,对该系统中不同大麻素的分析表明,大麻酚(CBG)和大麻红素(CBC)可能作为GABAAR的配体,为研究开辟了新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structure and Dynamics of Cannabinoid Binding to the GABAA Receptor.

Research on medical cannabis is progressing, with several cannabinoids emerging as promising compounds for clinical use. The available evidence suggests that cannabinoids may modulate the glycine receptor (GlyR) and GABAA receptor, which are part of the pentameric ligand-gated ion channels (pLGICs) superfamily and facilitate chemical communication in the nervous system. In a previous study, we employed molecular dynamics (MD) simulations to elucidate the dynamics of the GlyR/Δ9-tetrahydrocannabinol (THC) complex and successfully identified a representative binding mode. Given the structural similarity between GlyR and GABAAR, we employed a similar strategy to investigate GABAAR-cannabinoid interactions. We initially assessed the binding mode of THC to GABAAR-α1β2γ2 at the equivalent binding site of the GlyR-that is, on its two α-subunits-as well as the impact of this binding on the channel's dimensions. Our results indicate, first, that the binding modes of THC to GABAAR and GlyR exhibit comparable characteristics and, second, that THC may function as a potentiator of GABA activity due to a significant opening of the channel pore. Additionally, we aimed to reduce the overall computational cost associated with exploring binding modes. To this end, we developed and validated a simplified model comprising a single-monomer system for cannabinoid binding studies. This model proved to be accurate and cost-effective, accelerating the in silico screening process and allowing for the study of GABAAR-cannabinoid binding through docking and MD simulations. Moreover, the analysis of different cannabinoids in this system suggests that cannabigerol (CBG) and cannabichromene (CBC) could act as ligands for GABAAR, opening unexplored avenues for research.

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来源期刊
Proteins-Structure Function and Bioinformatics
Proteins-Structure Function and Bioinformatics 生物-生化与分子生物学
CiteScore
5.90
自引率
3.40%
发文量
172
审稿时长
3 months
期刊介绍: PROTEINS : Structure, Function, and Bioinformatics publishes original reports of significant experimental and analytic research in all areas of protein research: structure, function, computation, genetics, and design. The journal encourages reports that present new experimental or computational approaches for interpreting and understanding data from biophysical chemistry, structural studies of proteins and macromolecular assemblies, alterations of protein structure and function engineered through techniques of molecular biology and genetics, functional analyses under physiologic conditions, as well as the interactions of proteins with receptors, nucleic acids, or other specific ligands or substrates. Research in protein and peptide biochemistry directed toward synthesizing or characterizing molecules that simulate aspects of the activity of proteins, or that act as inhibitors of protein function, is also within the scope of PROTEINS. In addition to full-length reports, short communications (usually not more than 4 printed pages) and prediction reports are welcome. Reviews are typically by invitation; authors are encouraged to submit proposed topics for consideration.
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