Suppr超能文献

通过计算机模拟筛选鉴定人P2X7的植物化学抑制剂:帕金森病中关键的炎症性细胞死亡介质

In-silico screening to identify phytochemical inhibitor for hP2X7: A crucial inflammatory cell death mediator in Parkinson's disease.

作者信息

Khan Sabiya, Khatri Dharmendra Kumar

机构信息

Department of Pharmacology & Toxicology, National Institute of Pharmaceutical Education & Research (NIPER), Hyderabad, Telangana, India.

Department of Pharmacology, Nims Institute of Pharmacy, Nims University Rajasthan, Jaipur, Rajasthan 303121, India.

出版信息

Comput Biol Chem. 2025 Apr;115:108285. doi: 10.1016/j.compbiolchem.2024.108285. Epub 2024 Nov 29.

Abstract

The second most prevalent neurological disease among the elderly is Parkinson's disease, where neuroinflammation plays a significant role in its pathology. Purinergic signaling mediated by P2X7 plays a significant role in neuroinflammation and pyroptotic cell death pathways through mediators like NLRP3, Caspase-1, and Caspase-3, instigating pyroptotic cell death. No synthetic agent advanced in late-stage clinical trials due to their inefficacy and toxicity. Hence, in this study, we aimed to identify a phytoconstituent inhibitor against the hP2X7 receptor to ameliorate the inflammatory processes involved. To achieve this aim, we performed homology modeling of the receptor and screened phytoconstituents from a library of over 3500 commercially available phytoconstituents. Molecular docking through the Maestro program of the Schrödinger suite was performed considering evaluation parameters like docking score, docking pose and spatial arrangement, and MMGBSA binding free energy. Predictive pharmacokinetic and toxicity profiling was done using tools like QikProp, ADMETLab 2.0, SwissADME, and Protox-II. Molecular dynamic simulation was performed using Schrödinger's Desmond tool for the top 10 phytoconstituents. The complex stability was evaluated based on the ligand- and protein-RMSD, protein-ligand contact stability over a simulation period of 100 ns, protein RMSF, and ligand properties like RMSF, radius of gyration, intramolecular hydrogen bonding, and SASA. Based on the studies' results, silychristin, silybin, rosmarinic acid, nordihydroguaiaretic acid, and aurantiamide were shortlisted as the top 5 phytoconstituents against hP2X7. Further in-vitro and in-vivo studies would offer better clarity on the mechanism of action of these agents specifically related to pyroptotic cell death in various disease models.

摘要

老年人中第二常见的神经疾病是帕金森病,神经炎症在其病理过程中起重要作用。由P2X7介导的嘌呤能信号传导通过NLRP3、半胱天冬酶-1和半胱天冬酶-3等介质在神经炎症和焦亡细胞死亡途径中起重要作用,引发焦亡细胞死亡。由于其无效性和毒性,没有合成药物进入后期临床试验。因此,在本研究中,我们旨在鉴定一种针对人P2X7受体的植物成分抑制剂,以改善相关的炎症过程。为实现这一目标,我们对该受体进行了同源建模,并从3500多种市售植物成分库中筛选植物成分。使用薛定谔套件的Maestro程序进行分子对接,考虑对接分数、对接姿势和空间排列以及MMGBSA结合自由能等评估参数。使用QikProp、ADMETLab 2.0、SwissADME和Protox-II等工具进行预测性药代动力学和毒性分析。对排名前10的植物成分使用薛定谔的Desmond工具进行分子动力学模拟。基于配体和蛋白质的均方根偏差(RMSD)、在100纳秒模拟期内的蛋白质-配体接触稳定性、蛋白质RMSF以及配体性质如RMSF、回转半径、分子内氢键和溶剂可及表面积(SASA)评估复合物稳定性。根据研究结果,水飞蓟宾、水飞蓟素、迷迭香酸、去甲二氢愈创木酸和橙酰胺被列为针对人P2X7的前5种植物成分。进一步的体外和体内研究将更清楚地揭示这些药物在各种疾病模型中与焦亡细胞死亡具体相关的作用机制。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验