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

IF 2.6 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2024-11-21 DOI:10.1016/j.compbiolchem.2024.108285
Sabiya Khan , Dharmendra Kumar Khatri
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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.
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计算机筛选鉴定hP2X7植物化学抑制剂:帕金森病中重要的炎症细胞死亡介质
老年人中第二常见的神经系统疾病是帕金森病,其中神经炎症在其病理中起着重要作用。P2X7介导的嘌呤能信号通过NLRP3、Caspase-1、Caspase-3等介质在神经炎症和焦亡细胞死亡通路中发挥重要作用,诱导焦亡细胞死亡。由于其无效和毒性,没有合成药物进入后期临床试验。因此,在本研究中,我们旨在鉴定一种抗hP2X7受体的植物成分抑制剂,以改善所涉及的炎症过程。为了实现这一目标,我们对受体进行了同源性建模,并从超过3500种市售植物成分库中筛选了植物成分。考虑对接评分、对接姿态和空间排列、MMGBSA结合自由能等评价参数,通过Schrödinger套件Maestro程序进行分子对接。使用QikProp、ADMETLab 2.0、SwissADME和Protox-II等工具进行预测药代动力学和毒性分析。使用Schrödinger的Desmond工具对前10种植物成分进行分子动力学模拟。根据配体-和蛋白质- rmsd、蛋白质-配体在100 ns模拟周期内的接触稳定性、蛋白质- RMSF以及配体性质(如RMSF、旋转半径、分子内氢键和SASA)来评估配合物的稳定性。根据研究结果,水飞蓟素、水飞蓟宾、迷迭香酸、去甲二氢愈创木酸和金酰胺是抗hP2X7的前5位植物成分。进一步的体外和体内研究将更好地阐明这些药物在各种疾病模型中与热腐细胞死亡特异性相关的作用机制。
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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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