Department of Medicinal Chemistry, Uppsala University, BMC, P.O. Box 574, SE-751 23 Uppsala, Sweden.
Chemical Biology Consortium Sweden (CBCS), Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Division of Chemical Biology and Genome Engineering, Karolinska Institutet, Tomtebodavägen 23A, SE-171 65 Solna, Sweden.
Int J Mol Sci. 2024 Feb 21;25(5):2516. doi: 10.3390/ijms25052516.
Inhibition of insulin-regulated aminopeptidase (IRAP) has been shown to improve cognitive functions in several animal models. Recently, we performed a screening campaign of approximately 10,000 compounds, identifying novel small-molecule-based compounds acting as inhibitors of the enzymatic activity of IRAP. Here we report on the chemical synthesis, structure-activity relationships (SAR) and initial characterization of physicochemical properties of a series of 48 imidazo [1,5-α]pyridine-based inhibitors, including delineation of their mode of action as non-competitive inhibitors with a small L-leucine-based IRAP substrate. The best compound displays an IC value of 1.0 µM. We elucidate the importance of two chiral sites in these molecules and find they have little impact on the compound's metabolic stability or physicochemical properties. The carbonyl group of a central urea moiety was initially believed to mimic substrate binding to a catalytically important Zn ion in the active site, although the plausibility of this binding hypothesis is challenged by observation of excellent selectivity versus the closely related aminopeptidase N (APN). Taken together with the non-competitive inhibition pattern, we also consider an alternative model of allosteric binding.
胰岛素调节氨肽酶(IRAP)的抑制作用已被证明可以改善几种动物模型的认知功能。最近,我们进行了大约 10000 种化合物的筛选活动,确定了新型的小分子化合物,它们可以作为 IRAP 酶活性的抑制剂。在这里,我们报告了一系列 48 种基于咪唑并[1,5-α]吡啶的抑制剂的化学合成、结构-活性关系(SAR)和初步理化性质的表征,包括确定它们作为非竞争性抑制剂的作用模式,以及对基于 L-亮氨酸的小 IRAP 底物的抑制作用。最佳化合物的 IC 值为 1.0µM。我们阐明了这些分子中两个手性位点的重要性,发现它们对化合物的代谢稳定性或理化性质几乎没有影响。最初,认为中心脲基部分的羰基可以模拟底物与活性位点中催化重要的 Zn 离子的结合,但对这种结合假说的合理性提出了挑战,因为观察到对密切相关的氨肽酶 N(APN)具有极好的选择性。结合非竞争性抑制模式,我们还考虑了另一种变构结合的模型。