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药物重定位治疗糖尿病:利用 DrugBank 数据库进行α-葡萄糖苷酶抑制剂的计算机筛选和体外研究。

Drug repurposing for diabetes mellitus: In silico and in vitro investigation of DrugBank database for α-glucosidase inhibitors.

机构信息

Faculty of Biological Science and Technology, Department of Cell and Molecular Biology & Microbiology, University of Isfahan, Isfahan, Iran.

Department of Pharmacognosy, Isfahan Pharmaceutical Sciences Research Center, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran.

出版信息

Int J Biol Macromol. 2024 Jun;270(Pt 1):132164. doi: 10.1016/j.ijbiomac.2024.132164. Epub 2024 May 9.

DOI:10.1016/j.ijbiomac.2024.132164
PMID:38729474
Abstract

The process of developing novel compounds/drugs is arduous, time-intensive, and financially burdensome, characterized by a notably low success rate and relatively high attrition rates. To alleviate these challenges, compound/drug repositioning strategies are employed to predict potential therapeutic effects for DrugBank-approved compounds across various diseases. In this study, we devised a computational and enzyme inhibitory mechanistic approach to identify promising compounds from the pool of DrugBank-approved substances targeting Diabetes Mellitus (DM). Molecular docking analyses were employed to validate the binding interaction patterns and conformations of the screened compounds within the active site of α-glucosidase. Notably, Asp352 and Glu277 participated in interactions within the α-glucosidase-ligand complexes, mediated by conventional hydrogen bonding and van der Waals forces, respectively. The stability of the docked complexes (α-glucosidase-compounds) was scrutinized through Molecular Dynamics (MD) simulations. Subsequent in vitro analyses assessed the therapeutic potential of the repositioned compounds against α-glucosidase. Kinetic studies revealed that "Forodesine" exhibited a lower IC (0.24 ± 0.04 mM) compared to the control, and its inhibitory pattern corresponds to that of competitive inhibitors. In-depth in silico secondary structure content analysis detailed the interactions between Forodesine and α-glucosidase, unveiling significant alterations in enzyme conformation upon binding, impacting its catalytic activity. Overall, our findings underscore the potential of Forodesine as a promising candidate for DM treatment through α-glucosidase inhibition. Further validation through in vitro and in vivo studies is imperative to confirm the therapeutic benefits of Forodesine in conformational diseases such as DM.

摘要

开发新化合物/药物的过程艰巨、耗时且耗费财力,成功率低,淘汰率高。为了应对这些挑战,人们采用了化合物/药物重定位策略来预测经过批准的 DrugBank 化合物在各种疾病中的潜在治疗效果。在这项研究中,我们设计了一种计算和酶抑制机制方法,以从经过批准的 DrugBank 物质池中鉴定出针对糖尿病 (DM) 的有前途的化合物。采用分子对接分析来验证筛选化合物在α-葡萄糖苷酶活性部位的结合相互作用模式和构象。值得注意的是,Asp352 和 Glu277 通过氢键和范德华力分别参与了α-葡萄糖苷酶-配体复合物内的相互作用。通过分子动力学 (MD) 模拟仔细研究了对接复合物 (α-葡萄糖苷酶-化合物) 的稳定性。随后的体外分析评估了重新定位化合物对α-葡萄糖苷酶的治疗潜力。动力学研究表明,“福多司坦”的 IC 50(0.24±0.04 mM)低于对照,其抑制模式与竞争性抑制剂相对应。深入的计算机二级结构含量分析详细描述了福多司坦与α-葡萄糖苷酶之间的相互作用,揭示了结合后酶构象的显著变化,影响其催化活性。总体而言,我们的研究结果强调了福多司坦通过抑制α-葡萄糖苷酶作为治疗 DM 的有前途候选药物的潜力。通过体外和体内研究进一步验证对于确认福多司坦在 DM 等构象疾病中的治疗益处至关重要。

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