Department of Medicinal Chemistry, School of Pharmacy, Iran University of Medical Sciences, Tehran, Iran.
Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Sci Rep. 2022 Sep 1;12(1):14870. doi: 10.1038/s41598-022-18896-0.
The control of postprandial hyperglycemia is an important target in the treatment of type 2 diabetes mellitus (T2DM). As a result, targeting α-glucosidase as the most important enzyme in the breakdown of carbohydrates to glucose that leads to an increase in postprandial hyperglycemia is one of the treatment processes of T2DM. In the present work, a new class of benzimidazole-Schiff base hybrids 8a-p has been developed based on the potent reported α-glucosidase inhibitors. These compounds were synthesized by sample recantations, characterized by H-NMR, C-NMR, FT-IR, and CHNS elemental analysis, and evaluated against α-glucosidase. All new compounds, with the exception of inactive compound 8g, showed excellent inhibitory activities (60.1 ± 3.6-287.1 ± 7.4 µM) in comparison to acarbose as the positive control (750.0 ± 10.5). Kinetic study of the most potent compound 8p showed a competitive type of inhibition (K value = 60 µM). In silico induced fit docking and molecular dynamics studies were performed to further investigate the interaction, orientation, and conformation of the title new compounds over the active site of α-glucosidase. In silico druglikeness analysis and ADMET prediction of the most potent compounds demonstrated that these compounds were druglikeness and had satisfactory ADMET profile.
控制餐后高血糖是治疗 2 型糖尿病(T2DM)的一个重要目标。因此,针对α-葡萄糖苷酶作为导致餐后高血糖的碳水化合物分解为葡萄糖的最重要的酶之一,是 T2DM 的治疗过程之一。在本工作中,基于报道的具有较强α-葡萄糖苷酶抑制活性的抑制剂,开发了一类新的苯并咪唑-Schiff 碱杂合体 8a-p。这些化合物通过重新合成得到,通过 1H-NMR、13C-NMR、FT-IR 和 CHNS 元素分析进行了表征,并进行了α-葡萄糖苷酶抑制活性评价。所有新化合物(无活性化合物 8g 除外)均表现出优异的抑制活性(60.1±3.6-287.1±7.4μM),与阳性对照阿卡波糖相比具有良好的抑制活性(750.0±10.5μM)。最有效的化合物 8p 的动力学研究表明其为竞争性抑制(K 值=60μM)。进行了基于配体的分子对接和分子动力学研究,以进一步研究标题新化合物在α-葡萄糖苷酶活性部位的相互作用、取向和构象。最有效的化合物的基于计算机的类药性分析和 ADMET 预测表明,这些化合物具有类药性,且具有令人满意的 ADMET 特征。