Literature DB >> 28291352

Understanding the Molecular Determinant of Reversible Human Monoamine Oxidase B Inhibitors Containing 2H-Chromen-2-One Core: Structure-Based and Ligand-Based Derived Three-Dimensional Quantitative Structure-Activity Relationships Predictive Models.

Milan Mladenović1, Alexandros Patsilinakos2,3, Adele Pirolli2,4, Manuela Sabatino2, Rino Ragno2,3.   

Abstract

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.

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Year:  2017        PMID: 28291352     DOI: 10.1021/acs.jcim.6b00608

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  8 in total

1.  Computational Chemistry and Molecular Modeling of Reversible MAO Inhibitors.

Authors:  Kemal Yelekçi; Safiye Sağ Erdem
Journal:  Methods Mol Biol       Date:  2023

2.  Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal.

Authors:  Eleonora Proia; Alessio Ragno; Lorenzo Antonini; Manuela Sabatino; Milan Mladenovič; Roberto Capobianco; Rino Ragno
Journal:  J Comput Aided Mol Des       Date:  2022-06-18       Impact factor: 4.179

3.  Human Estrogen Receptor Alpha Antagonists, Part 3: 3-D Pharmacophore and 3-D QSAR Guided Brefeldin A Hit-to-Lead Optimization toward New Breast Cancer Suppressants.

Authors:  Nezrina Kurtanović; Nevena Tomašević; Sanja Matić; Elenora Proia; Manuela Sabatino; Lorenzo Antonini; Milan Mladenović; Rino Ragno
Journal:  Molecules       Date:  2022-04-28       Impact factor: 4.927

4.  4,8-Dimethylcoumarin Inhibitors of Intestinal Anion Exchanger slc26a3 (Downregulated in Adenoma) for Anti-Absorptive Therapy of Constipation.

Authors:  Sujin Lee; Onur Cil; Peter M Haggie; Alan S Verkman
Journal:  J Med Chem       Date:  2019-09-03       Impact factor: 7.446

Review 5.  The Link between Depression and Chronic Pain: Neural Mechanisms in the Brain.

Authors:  Jiyao Sheng; Shui Liu; Yicun Wang; Ranji Cui; Xuewen Zhang
Journal:  Neural Plast       Date:  2017-06-19       Impact factor: 3.599

Review 6.  Recent Developments in New Therapeutic Agents against Alzheimer and Parkinson Diseases: In-Silico Approaches.

Authors:  Pedro Cruz-Vicente; Luís A Passarinha; Samuel Silvestre; Eugenia Gallardo
Journal:  Molecules       Date:  2021-04-11       Impact factor: 4.411

Review 7.  Coumarin: A Natural, Privileged and Versatile Scaffold for Bioactive Compounds.

Authors:  Angela Stefanachi; Francesco Leonetti; Leonardo Pisani; Marco Catto; Angelo Carotti
Journal:  Molecules       Date:  2018-01-27       Impact factor: 4.411

8.  The Targeted Pesticides as Acetylcholinesterase Inhibitors: Comprehensive Cross-Organism Molecular Modelling Studies Performed to Anticipate the Pharmacology of Harmfulness to Humans In Vitro.

Authors:  Milan Mladenović; Biljana B Arsić; Nevena Stanković; Nezrina Mihović; Rino Ragno; Andrew Regan; Jelena S Milićević; Tatjana M Trtić-Petrović; Ružica Micić
Journal:  Molecules       Date:  2018-08-30       Impact factor: 4.411

  8 in total

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