School of Pharmacy, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan; Center for Energy and Environmental Science, Shinshu University, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan.
School of Pharmacy, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan.
J Mol Graph Model. 2018 Jan;79:254-263. doi: 10.1016/j.jmgm.2017.12.005. Epub 2017 Dec 14.
Dipeptidyl peptidase-IV (DPP-IV), an enzyme that degrades incretins-hormones that promote insulin secretion-is a therapeutic target for type 2 diabetes, with a number of its inhibitors having been launched as therapies for diabetes. Since adverse effects of these inhibitors have recently been reported, the development of novel DPP-IV inhibitors with higher efficacy and safety is required. We, therefore, screened for novel DPP-IV inhibitors using the combination of an in silico drug discovery technique and a DPP-IV assay system. We initially selected seven candidate compounds as DPP-IV inhibitors from a database consisting of four million compounds by a multistep in silico screening procedure combining pharmacophore-based screening, docking calculation and the analysis of three-dimensional quantitative structure-activity relationship. We then measured the inhibitory activity of the selected compounds and identified a hit compound. In addition, we discuss the structure-activity relationship between the binding mode model and inhibitory activity of the hit compound.
二肽基肽酶-4(DPP-4)是一种能够降解肠促胰岛素(促进胰岛素分泌的激素)的酶,是 2 型糖尿病的治疗靶点,其多种抑制剂已被开发为糖尿病治疗药物。由于这些抑制剂的不良反应最近已经被报道,因此需要开发具有更高疗效和安全性的新型 DPP-4 抑制剂。因此,我们使用计算机药物发现技术和 DPP-4 测定系统相结合,筛选新型 DPP-4 抑制剂。我们最初通过结合基于药效团的筛选、对接计算和三维定量构效关系分析的多步计算机筛选程序,从由四百万种化合物组成的数据库中选择了七种候选化合物作为 DPP-4 抑制剂。然后,我们测量了所选化合物的抑制活性,并确定了一个命中化合物。此外,我们还讨论了结合模式模型与命中化合物抑制活性之间的构效关系。