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ANDERSON LUIZ PENA DA COSTA
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IN SILICO SCREENING OF MONOAMINE OXIDASE B INHIBITORS FOR THE TREATMENT OF NEUROPSYCHIATRIC DISORDERS
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Leader : LORANE IZABEL DA SILVA HAGE MELIM
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MEMBRES DE LA BANQUE :
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DANAY ROSA DUPEYRÓN MARTELL
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GISELE DA SILVA BOTAS CRUZ
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LILIAN GRACE DA SILVA SOLON
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LORANE IZABEL DA SILVA HAGE MELIM
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NAYANA KEYLA SEABRA DE OLIVEIRA
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RODRIGO ALVES SOARES CRUZ
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Data: 31 oct. 2024
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Afficher le Résumé
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Introduction: Neurochemical alterations in monoaminergic neurotransmission are common manifestations in neurological disorders, such as neurodegenerative diseases, as well as psychiatric disorders like depression and schizophrenia. The enzyme monoamine oxidase B (MAO-B) serves as a significant pharmacological target due to its physiological role in terminating monoaminergic neurotransmission. In this context, MAO-B inhibitors represent therapeutic alternatives aimed at increasing the availability of monoamines in synaptic clefts in cases of serotonin, dopamine, norepinephrine, and epinephrine decrease/depletion, providing potential treatments for neuropsychiatric disorders that share genetic or neurobiological pathways related to neurological and psychiatric symptoms. Objective: To perform a virtual screening of molecules with potential inhibitory activity on MAO-B using computational tools. Materials and Methods: A pharmacophore model was built using the Pharmagist platform based on potent MAO-B inhibitors extracted from the BindingDB database. This model was used to search for molecules with similar physicochemical properties in the ZincPharmer database. Conformers of the molecules obtained were then generated using the OMEGA software to assess the influence of structural aspects on their bioactivity. This was followed by screening using electrostatic and structural filters, considering the selective MAO-B inhibitor safinamide in the EON and ROCS software. Further screening for binding affinity probability was conducted using the GOLD software, and the most promising and safest molecules were identified through in silico toxicity assays using the DEREK software, pharmacokinetic predictions in QikProp, and drug interaction predictions using the SwissADME platform. Results and Discussion: The pharmacophore-based search identified 10,000 molecules in ZincPharmer. After screenings with various computational tools, the following compounds were discovered: 1-[[2-(difluoromethoxy)phenyl]methyl]-4-(pyrrolo[3,2- b]pyridin-1-ylmethyl)piperidin-4-ol (ligand 775), 3-[2-(1,3-benzodioxol-5-yl)-2- oxoethyl]-6-bromoquinazolin-4-one (ligand 984), 6-chloroimidazo[1,2-a]pyridin-2-yl-[4- (2-pyrazol-1-ylethyl)piperidin-1-yl]methanone (ligand 596), and (2-phenylimidazo[1,2- a]pyridin-6-yl)-[(2R)-2-pyridin-2-ylpyrrolidin-1-yl]methanone (ligand 627). These molecules exhibit structural, physicochemical, pharmacokinetic properties, and interaction profiles with MAO-B characteristic of selective and reversible inhibitors targeting the selected enzyme. Conclusions: The ligands identified through the in silico screening are promising substances for further validation in preclinical studies, aiming to better understand their pharmacological and toxicological properties, with potential for clinical application.
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