LPA1受体配体介导的结构调节和膜稳定:来自分子动力学模拟的见解

IF 3.1 4区 生物学 Q2 BIOLOGY
Yahui Zhang, Mengxia Zhao, Yiru Wang, Yanyan Zhu, Yujie Chen, Li Chen, Huiyu Li
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引用次数: 0

摘要

溶血磷脂酸(LPA)是一种重要的生物活性信号分子,可激活六种不同的G蛋白偶联受体(gpcr),其中LPA1亚型在恶性肿瘤、肺纤维化、炎症和神经性疼痛中发挥重要作用,具有很高的治疗靶点潜力。最近的研究表明,小分子ONO-0740556可以有效地破坏溶液中LPA1的整体结构;然而,其在天然膜环境中的作用尚不清楚。根据中药系统药理学数据库(TCMS),丹参具有抗炎和抗肺纤维化的特性,其天然化合物隐黄质可能是一种新型的LPA1抑制剂。本文采用微秒尺度的全原子分子动力学模拟,系统比较了ONO-0740556和隐黄质在膜环境下对LPA1的结构调制。结果表明,这两种配体都扩大了LPA1配体结合通道的入口,减弱了跨膜螺旋7 (TM7)与其他结构群落之间的相互作用,减少了LPA1与膜之间的疏水相互作用,从而引起膜结构扰动。值得注意的是,隐黄质在扩大结合通道和选择性减弱tm7 -群落相互作用方面的作用更为明显。这些发现为小分子如何在其生理相关的膜环境中调节LPA1结构提供了原子水平的见解。这种机制的理解不仅为lpa1靶向治疗的合理设计提供了理论基础,而且还支持发现天然产物衍生抑制剂作为可行的候选药物。此外,我们的研究结果强调了LPA1潜在的变抗位点和动态特征,可以用来开发高选择性调节剂,为更精确的治疗干预LPA1相关疾病铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ligand-mediated structural modulation and membrane stabilization of LPA1 receptor: Insights from molecular dynamics simulations
Lysophosphatidic acid (LPA) is an important bioactive signaling molecule that activates six distinct G protein-coupled receptors (GPCRs), among which the LPA1 subtype possesses high therapeutic target potential due to its critical roles in malignant tumors, pulmonary fibrosis, inflammation, and neuropathic pain. Recent studies have shown that the small molecule ONO-0740556 can effectively disrupt the overall structure of LPA1 in solution; however, its effects in a native membrane environment remain unclear. According to the Traditional Chinese Medicine Systems Pharmacology Database (TCMS), Dan Shen(Salvia miltiorrhiza) exhibits anti-inflammatory and anti-pulmonary fibrosis properties, and its natural compound cryptoxanthin may serve as a novel LPA1 inhibitor. Here, we employed microsecond-scale all-atom molecular dynamics simulations to systematically compare the structural modulation of LPA1 by ONO-0740556 and cryptoxanthin in a membrane environment. The results indicate that both ligands enlarge the entrance of the LPA1 ligand-binding channel, weaken the interactions between transmembrane helix 7 (TM7) and other structural communities, and reduce hydrophobic interactions between LPA1 and the membrane, thereby inducing membrane structural perturbations. Notably, cryptoxanthin exerts a more pronounced effect in widening the binding channel and selectively attenuating TM7–community interactions. These findings provide atomic-level insights into how small molecules modulate LPA1 structure in its physiologically relevant membrane environment. Such mechanistic understanding not only offers a theoretical basis for the rational design of LPA1-targeted therapeutics but also supports the discovery of natural product–derived inhibitors as viable drug candidates. Moreover, our results highlight potential allosteric sites and dynamic features of LPA1 that could be exploited to develop highly selective modulators, paving the way for more precise therapeutic interventions against LPA1-related diseases.
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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