Department of Biochemistry, Universidade Estadual de Maringá, Maringá, PR, Brazil.
Post-Graduate Program of Food Science, Universidade Estadual de Maringá, Maringá, PR, Brazil.
J Mol Model. 2019 Aug 26;25(9):275. doi: 10.1007/s00894-019-4176-3.
Amylases are interesting targets for antidiabetic drugs because their inhibition is able to lower glycaemia without the need of hormonal control, as promoted by insulin or glibenclamide. In this context, the comparison between the binding features of α-amylases with their substrate and known inhibitors may provide insights aiming at the discovery of new antidiabetic drugs. In this work, the structure of the porcine pancreatic α-amylase was modelled with the acarbose pentasaccharide inhibitor, and used in structure-based virtual screening simulations based on a library containing the structures of amylose (AMY), acarbose (ACA) and the more representative structures of condensed tannin (CTN) and hydrolysable tannin (HTN). After validation of the methodology by redocking (mean rmsd ~ 0.8 Å), the scores provided by programs AutoDock/Molegro were contradictory (- 1.5/- 23.3; - 3.5/- 24.6; - 4.3/- 14.6; -/- 19.5 for AMY, ACA, CTN and HTN respectively), indicating that a more sensitive methodology was necessary. The ΔG was calculated by the molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) method, which indicated that the HTN, ACA and CTN had higher affinities for the enzyme regarding the AMY substrate, with values of - 350.0, - 346.2, - 320.5 and - 209.2 kJ mol, respectively. The predicted relative affinities of HTN and CTN are in agreement with those obtained experimentally. The results provided useful information for the characterization of tannin binding to α-amylase, which can be applied in future studies aiming at finding new hypoglycaemic molecules among natural products.
淀粉酶是抗糖尿病药物的有趣靶点,因为它们的抑制作用能够降低血糖,而不需要激素控制,如胰岛素或格列本脲所促进的那样。在这种情况下,比较α-淀粉酶与底物和已知抑制剂的结合特征,可以为发现新的抗糖尿病药物提供思路。在这项工作中,用阿卡波糖五糖抑制剂对猪胰腺α-淀粉酶进行了结构建模,并在基于包含直链淀粉(AMY)、阿卡波糖(ACA)和更具代表性的缩合单宁(CTN)和可水解单宁(HTN)结构的文库的结构基础虚拟筛选模拟中使用。在通过重新对接(平均 rmsd~0.8 Å)验证方法之后,AutoDock/Molegro 程序提供的分数是矛盾的(-1.5/-23.3;-3.5/-24.6;-4.3/-14.6;-0/-19.5 分别用于 AMY、ACA、CTN 和 HTN),表明需要更敏感的方法。通过分子力学泊松-玻尔兹曼表面面积(MM-PBSA)方法计算 ΔG 表明,HTN、ACA 和 CTN 与 AMY 底物相比对酶具有更高的亲和力,其值分别为-350.0、-346.2、-320.5 和-209.2 kJ/mol。HTN 和 CTN 的预测相对亲和力与实验获得的结果一致。这些结果为单宁与α-淀粉酶结合的特征提供了有用的信息,可应用于未来旨在从天然产物中寻找新的降血糖分子的研究。