揭示分子洞察力:用于治疗干眼症的 TLR4 拮抗剂的硅学探索

IF 2 Q2 OPHTHALMOLOGY
Kothandan Sudhakar, Neeru Dugar, Srikanth Jupudi, Ravichandran Ashwin, Kuppusamy Gowthamarajan
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引用次数: 0

摘要

背景 干眼症是最常见的多发性眼部并发症,已影响到全球数百万人。干眼症是由于活性氧的过度积累,导致角膜上皮细胞大量死亡和眼表面炎症,而这些都归因于 TLR4。在本研究中,我们旨在通过探索硅学方法,找出治疗干眼症的潜在化合物。方法 在本研究中,我们使用分子对接和动力学模拟测试来研究选定化合物对 TLR4 受体的影响。化合物从不同的数据库中提取,通过 Autodock Vina 进行制备并与 TLR4 受体对接。通过使用 Schrodinger Suite 的 Desmond 模块,选择了 Celastrol、lumacaftor 和 nilotinib 进行进一步的分子动力学研究,以深入了解由蛋白质和配体组成的分子系统。结果 对接结果显示,根据结合亲和力和三维相互作用,这些化合物的结合亲和力在 -5.1 至 -8.78 之间。根据 2Z63.pdb.pdb 催化口袋中 100 ns 的分子动力学轨迹分析,在这三种化合物中,西司替罗最为稳定。celastrol/2Z63 的均方根偏差范围为 1.8-4.8 Å。结论 TLR4 受体的 Glu376 对识别和结合革兰氏阴性细菌外膜上的脂多糖(LPS)至关重要。在我们的研究中,青霉烯醇与 Glu376 结合,这表明青霉烯醇可通过抑制 LPS 与 TLR4 结合来预防干眼症。没有相关数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unveiling molecular insights: in silico exploration of TLR4 antagonist for management of dry eye syndrome
Background Dry eye disease is the most commonplace multifractional ocular complication, which has already affected millions of people in the world. It is identified by the excessive buildup of reactive oxygen species, leading to substantial corneal epithelial cell demise and ocular surface inflammation attributed to TLR4. In this study, we aimed to identify potential compounds to treat of dry eye syndrome by exploring in silico methods. Methods In this research, molecular docking and dynamics simulation tests were used to examine the effects of selected compounds on TLR4 receptor. Compounds were extracted from different databases and were prepared and docked against TLR4 receptor via Autodock Vina. Celastrol, lumacaftor and nilotinib were selected for further molecular dynamics studies for a deeper understanding of molecular systems consisting of protein and ligands by using the Desmond module of the Schrodinger Suite. Results The docking results revealed that the compounds are having binding affinity in the range of −5.1 to −8.78 based on the binding affinity and three-dimensional interactions celastrol, lumacaftor and nilotinib were further studied for their activity by molecular dynamics. Among the three compounds, celastrol was the most stable based on molecular dynamics trajectory analysis from 100 ns in the catalytic pockets of 2Z63.pdb.pdb. Root mean square deviation of celastrol/2Z63 was in the range of 1.8–4.8 Å. Conclusion In particular, Glu376 of TLR4 receptor is crucial for the identification and binding of lipopolysaccharides (LPS), which are part of Gram-negative bacteria’s outer membrane. In our investigation, celastrol binds to Glu376, suggesting that celastrol may prevent the dry eye syndrome by inhibiting LPS’s binding to TLR4. No data are available.
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来源期刊
BMJ Open Ophthalmology
BMJ Open Ophthalmology OPHTHALMOLOGY-
CiteScore
3.40
自引率
4.20%
发文量
104
审稿时长
20 weeks
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