Division of Life Science, Division of Applied Life Science (BK21 Plus), Plant Molecular Biology and Biotechnology Research Center (PMBBRC), Research Institute of Natural Science (RINS), Gyeongsang National University (GNU), 501 Jinju-daero, Jinju 52828, Republic of Korea.
Division of Life Science, Division of Applied Life Science (BK21 Plus), Plant Molecular Biology and Biotechnology Research Center (PMBBRC), Research Institute of Natural Science (RINS), Gyeongsang National University (GNU), 501 Jinju-daero, Jinju 52828, Republic of Korea.
J Mol Graph Model. 2019 May;88:92-103. doi: 10.1016/j.jmgm.2018.12.006. Epub 2018 Dec 13.
Prolyl oligopeptidase (POP) is a potential therapeutic target for treatment of several neurological disorders and α-synucleinopathies including Parkinson's disease. Most of the known POP inhibitors failed in the clinical trials due to poor pharmacokinetic properties and blood-brain impermeability. Therefore, a training set of 30 structurally diverse compounds with a wide range of inhibitory activity against POP was used to generate a quantitative pharmacophore model, Hypo 3, to identify potential POP inhibitors with desirable drug-like properties. Validations through test set, cost analysis, and Fisher's randomization methods proved that Hypo 3 accurately predicted the known inhibitors among inactive compounds. Hypo 3 was employed as 3D query for virtual screening on an in-house drug-like chemical database containing compounds with good brain permeability and ADMET parameters. Database screening with Hypo 3 resulted in 99 compounds that were narrowed down to 21 compounds through molecular docking. Among them, five compounds were identified in our earlier studies, while two compounds showed in vitro POP inhibition. The current study proposed new 16 virtually screened compounds as potential inhibitors against POP that possess Gold docking score in the range of 64.61-75.74 and Chemscore of -32.25 to -38.35. Furthermore, the top scoring four hit compounds were subjected to molecular dynamics simulations to reveal their appropriate binding modes and assessing binding free energies. The hit compounds interacted with POP effectively via hydrogen bonds with important active site residues along with hydrophobic interactions. Moreover, the hit compounds had key inter-molecular interactions and better binding free energies as compared to the reference inhibitor. A potential new hydrogen bond interaction was discovered between Hit 2 with the Arg252 residue of POP. To conclude, we propose four hit compounds with new structural scaffolds against POP for the lead development of POP-based therapeutics for neurological disorders.
脯氨酰寡肽酶 (POP) 是治疗几种神经紊乱和 α-突触核蛋白病(包括帕金森病)的潜在治疗靶点。由于药代动力学性质差和血脑屏障通透性差,大多数已知的 POP 抑制剂在临床试验中失败。因此,使用了一组 30 种结构多样的化合物作为训练集,这些化合物对 POP 具有广泛的抑制活性,以生成一个定量药效基团模型 Hypo 3,以识别具有理想药物特性的潜在 POP 抑制剂。通过测试集、成本分析和 Fisher 随机化方法的验证表明,Hypo 3 准确地预测了已知抑制剂在非活性化合物中的存在。Hypo 3 被用作 3D 查询,对包含具有良好脑渗透性和 ADMET 参数的化合物的内部类药性化学数据库进行虚拟筛选。使用 Hypo 3 对数据库进行筛选,得到 99 种化合物,通过分子对接将其缩小到 21 种化合物。其中,有 5 种化合物在我们之前的研究中被鉴定出来,而有 2 种化合物显示出体外 POP 抑制活性。本研究提出了 16 种新的虚拟筛选化合物作为潜在的 POP 抑制剂,它们的 Gold 对接评分在 64.61-75.74 之间,Chemscore 在-32.25 到-38.35 之间。此外,对得分最高的 4 个命中化合物进行了分子动力学模拟,以揭示它们的适当结合模式和评估结合自由能。命中化合物通过氢键与重要的活性位点残基有效地与 POP 相互作用,同时还有疏水相互作用。此外,与参比抑制剂相比,命中化合物具有关键的分子间相互作用和更好的结合自由能。发现了 Hit2 与 POP 的 Arg252 残基之间的潜在新氢键相互作用。总之,我们提出了 4 种具有新结构骨架的命中化合物作为针对 POP 的先导化合物,用于开发基于 POP 的神经紊乱治疗药物。