Yasir Muhammad, Park Jinyoung, Han Eun-Taek, Han Jin-Hee, Park Won Sun, Chun Wanjoo
Department of Pharmacology, Kangwon National University School of Medicine, Chuncheon 24341, Republic of Korea.
Department of Medical Environmental Biology and Tropical Medicine, Kangwon National University School of Medicine, Chuncheon 24341, Republic of Korea.
Curr Issues Mol Biol. 2024 Oct 16;46(10):11503-11518. doi: 10.3390/cimb46100683.
Diabetes mellitus (DM) is a complex metabolic disorder characterized by chronic hyperglycemia, with aldose reductase playing a critical role in the pathophysiology of diabetic complications. This study aimed to investigate the efficacy of flavonoid compounds as potential aldose reductase inhibitors using a combination of molecular docking and molecular dynamics (MD) simulations. The three-dimensional structures of representative flavonoid compounds were obtained from PubChem, minimized, and docked against aldose reductase using Discovery Studio's CDocker module. The top 10 compounds Daidzein, Quercetin, Kaempferol, Butin, Genistein, Sterubin, Baicalein, Pulchellidin, Wogonin, and Biochanin_A were selected based on their lowest docking energy values for further analysis. Subsequent MD simulations over 100 ns revealed that Daidzein and Quercetin maintained the highest stability, forming multiple conventional hydrogen bonds and strong hydrophobic interactions, consistent with their favorable interaction energies and stable RMSD values. Comparative analysis of hydrogen bond interactions and RMSD profiles underscored the ligand stability. MMPBSA analysis further confirmed the significant binding affinities of Daidzein and Quercetin, highlighting their potential as aldose reductase inhibitors. This study highlights the potential of flavonoids as aldose reductase inhibitors, offering insights into their binding interactions and stability, which could contribute to developing novel therapeutics for DM complications.
糖尿病(DM)是一种以慢性高血糖为特征的复杂代谢紊乱疾病,醛糖还原酶在糖尿病并发症的病理生理学中起关键作用。本研究旨在结合分子对接和分子动力学(MD)模拟,研究黄酮类化合物作为潜在醛糖还原酶抑制剂的疗效。代表性黄酮类化合物的三维结构从PubChem获得,进行最小化处理,并使用Discovery Studio的CDocker模块与醛糖还原酶进行对接。根据最低对接能量值选择了前十种化合物,即大豆苷元、槲皮素、山奈酚、布亭、染料木黄酮、刺芒柄花素、黄芩苷、普氏木蓝素、吴茱萸次碱和鹰嘴豆芽素A,用于进一步分析。随后超过100纳秒的MD模拟显示,大豆苷元和槲皮素保持了最高的稳定性,形成了多个传统氢键和强烈的疏水相互作用,这与其良好的相互作用能和稳定的均方根偏差(RMSD)值一致。对氢键相互作用和RMSD图谱的比较分析强调了配体的稳定性。MMPBSA分析进一步证实了大豆苷元和槲皮素具有显著的结合亲和力,突出了它们作为醛糖还原酶抑制剂的潜力。本研究突出了黄酮类化合物作为醛糖还原酶抑制剂的潜力,深入了解了它们的结合相互作用和稳定性,这可能有助于开发治疗糖尿病并发症的新疗法。