Olanrewaju John A, Arietarhire Leviticus O, Soremekun Oladimeji E, Olugbogi Ezekiel A, Aribisala Precious O, Alege Pelumi E, Adeleke Stephen O, Afolabi Toluwanimi O, Sodipo Abayomi O
Department of Biocomputing, Eureka Research Laboratory, Faculty of Basic Medical Science, Benjamin Carson (Snr.) School of Medical Science, BABCOCK University, Ilishan-Remo, Ogun State Nigeria.
In Silico Pharmacol. 2024 Aug 14;12(2):74. doi: 10.1007/s40203-024-00243-y. eCollection 2024.
Neuroinflammation plays a pivotal role in the development and progression of neurodegenerative diseases, with a complex interplay between immune responses and brain activity. Understanding this interaction is crucial for identifying therapeutic targets and developing effective treatments. This study aimed to explore the neuroprotective properties of flavonoid compounds from via the modulation of neuroinflammatory pathway using a comprehensive in-silico approach, including network pharmacology, molecular docking, and dynamic simulations. Active flavonoid ingredients from were identified, and their potential protein targets were predicted through Network Pharmacology. Molecular docking was conducted to determine the binding affinities of these compounds against targets obtained from network pharmacology, prioritizing docking scores ≥ - 8.0 kcal/mol. Molecular dynamic simulations (MDS) assessed the stability and interaction profiles of these ligand-protein complexes. The docking study highlighted ≥ - 8.0 kcal/mol for the ligands (catechin and epicatechin) against FYN kinase as a significant target. However, these compounds failed the blood-brain barrier (BBB) permeability test. MDS confirmed the stability of catechin and the reference ligand at the FYN kinase active site, with notable interactions involving hydrogen bonds, hydrophobic contacts, and water bridges. GLU54 emerged as a key residue in the catechin-FYN complex stability due to its prolonged hydrogen bond interaction. The findings underscore the potential of flavonoids as therapeutic agents against neuroinflammation, though optimization and nanotechnology-based delivery methods are suggested to enhance drug efficacy and overcome BBB limitations.
神经炎症在神经退行性疾病的发生和发展中起着关键作用,免疫反应与大脑活动之间存在复杂的相互作用。了解这种相互作用对于确定治疗靶点和开发有效治疗方法至关重要。本研究旨在通过使用包括网络药理学、分子对接和动态模拟在内的综合计算机方法,通过调节神经炎症途径来探索[具体来源未提及]中黄酮类化合物的神经保护特性。鉴定了[具体来源未提及]中的活性黄酮成分,并通过网络药理学预测了它们潜在的蛋白质靶点。进行分子对接以确定这些化合物与从网络药理学获得的靶点的结合亲和力,对接分数≥ -8.0 kcal/mol的优先考虑。分子动力学模拟(MDS)评估了这些配体-蛋白质复合物的稳定性和相互作用概况。对接研究突出了配体(儿茶素和表儿茶素)对FYN激酶作为重要靶点的对接分数≥ -8.0 kcal/mol。然而,这些化合物未能通过血脑屏障(BBB)通透性测试。MDS证实了儿茶素和参考配体在FYN激酶活性位点的稳定性,存在涉及氢键、疏水接触和水桥的显著相互作用。由于其延长的氢键相互作用,GLU54成为儿茶素-FYN复合物稳定性的关键残基。研究结果强调了[具体来源未提及]黄酮类化合物作为抗神经炎症治疗药物的潜力,不过建议通过优化和基于纳米技术的递送方法来提高药物疗效并克服BBB限制。