Kragujevac Center for Computational Biochemistry, Faculty of Science, University of Kragujevac , Radoja Domanovića 12, 34000 Kragujevac, P.O. Box 60, Serbia.
Rome Center for Molecular Design, Department of Drug Chemistry and Technologies, Faculty of Pharmacy and Medicine, Rome Sapienza University , P.le A. Moro 5, 00185, Rome Italy.
J Chem Inf Model. 2017 Apr 24;57(4):787-814. doi: 10.1021/acs.jcim.6b00608. Epub 2017 Mar 30.
Monoamine oxidase B (MAO B) catalyzes the oxidative deamination of aryalkylamines neurotransmitters with concomitant reduction of oxygen to hydrogen peroxide. Consequently, the enzyme's malfunction can induce oxidative damage to mitochondrial DNA and mediates development of Parkinson's disease. Thus, MAO B emerges as a promising target for developing pharmaceuticals potentially useful to treat this vicious neurodegenerative condition. Aiming to contribute to the development of drugs with the reversible mechanism of MAO B inhibition only, herein, an extended in silico-in vitro procedure for the selection of novel MAO B inhibitors is demonstrated, including the following: (1) definition of optimized and validated structure-based three-dimensional (3-D) quantitative structure-activity relationships (QSAR) models derived from available cocrystallized inhibitor-MAO B complexes; (2) elaboration of SAR features for either irreversible or reversible MAO B inhibitors to characterize and improve coumarin-based inhibitor activity (Protein Data Bank ID: 2V61 ) as the most potent reversible lead compound; (3) definition of structure-based (SB) and ligand-based (LB) alignment rule assessments by which virtually any untested potential MAO B inhibitor might be evaluated; (4) predictive ability validation of the best 3-D QSAR model through SB/LB modeling of four coumarin-based external test sets (267 compounds); (5) design and SB/LB alignment of novel coumarin-based scaffolds experimentally validated through synthesis and biological evaluation in vitro. Due to the wide range of molecular diversity within the 3-D QSAR training set and derived features, the selected N probe-derived 3-D QSAR model proves to be a valuable tool for virtual screening (VS) of novel MAO B inhibitors and a platform for design, synthesis and evaluation of novel active structures. Accordingly, six highly active and selective MAO B inhibitors (picomolar to low nanomolar range of activity) were disclosed as a result of rational SB/LB 3D QSAR design; therefore, D123 (IC = 0.83 nM, K = 0.25 nM) and D124 (IC = 0.97 nM, K = 0.29 nM) are potential lead candidates as anti-Parkinson's drugs.
单胺氧化酶 B(MAO B)催化芳基烷基胺神经递质的氧化脱氨,同时将氧还原为过氧化氢。因此,该酶的功能障碍会导致线粒体 DNA 氧化损伤,并介导帕金森病的发展。因此,MAO B 成为开发潜在用于治疗这种恶性神经退行性疾病的药物的有希望的靶标。为了有助于开发仅具有 MAO B 抑制的可逆机制的药物,本文展示了一种用于选择新型 MAO B 抑制剂的扩展的基于计算的体外程序,包括以下内容:(1)从现有的共晶抑制剂-MAO B 复合物中定义优化和验证的基于结构的三维(3-D)定量构效关系(QSAR)模型;(2)阐述不可逆或可逆 MAO B 抑制剂的 SAR 特征,以表征和提高香豆素类抑制剂的活性(蛋白质数据库 ID:2V61)作为最有效的可逆先导化合物;(3)定义基于结构(SB)和基于配体(LB)的对准规则评估,通过该规则可以评估几乎任何未经测试的潜在 MAO B 抑制剂;(4)通过 SB/LB 建模对四个香豆素类外部测试集(267 种化合物)的最佳 3-D QSAR 模型进行预测能力验证;(5)通过合成和体外生物学评估实验设计和 SB/LB 对准新型香豆素类支架。由于 3-D QSAR 训练集中的分子多样性范围广泛,并且衍生出的特征,所选的 N 探针衍生的 3-D QSAR 模型被证明是虚拟筛选(VS)新型 MAO B 抑制剂的有效工具,也是设计,合成和评估新型活性结构的平台。因此,通过合理的 SB/LB 3D QSAR 设计揭示了六种高活性和选择性的 MAO B 抑制剂(纳摩尔至低纳摩尔范围内的活性);因此,D123(IC=0.83 nM,K=0.25 nM)和 D124(IC=0.97 nM,K=0.29 nM)是作为抗帕金森病药物的潜在先导候选物。