By Simonelli Valeria; Leuzzi Giuseppe; Basile Giorgia; D'Errico Mariarosaria; Fortini Paola; Franchitto Annapaola; Parlanti Eleonora;…
By Mladenovic Milan; Patsilinakos Alexandros; Pirolli Adele; Sabatino Manuela; Ragno Rino; Patsilinakos Alexandros; Ragno Rino; Pirolli Adele
From Journal of chemical information and modeling (2017), 57(4), 787-814, Language: English, Database: MEDLINE
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 (IC50 = 0.83 nM, Ki = 0.25 nM) and D124 (IC50 = 0.97 nM, Ki = 0.29 nM) are potential lead candidates as anti-Parkinson’s drugs.