| Popis: |
Abstract Background Neurodegenerative disorders (NDs), primarily affecting the elderly, are marked by complex pathophysiological processes and are projected to become the second leading cause of death. Parkinson’s disease (PD), one of the most common NDs, is characterized by motor impairments due to reduced dopamine levels in the substantia nigra (SN), a crucial midbrain region involved in motor control and reward mechanisms. PD also impacts cognitive functions, potentially leading to depression and sleep disturbances. Recent research highlights the importance of MAO-B inhibitors in PD management, as these enzymes play a critical role in regulating neurotransmitter levels by catalyzing the oxidative deamination of intracellular amines and monoamine neurotransmitters. Result Computational virtual screening of several quinoline-based ligands against the target protein MAO-B (PDB ID: 1OJA) was performed using molecular docking simulation and ADMET studies to identify promising inhibitors for neurodegenerative disease treatment. The most active hit, Compound PA001, exhibited a MolDock score of − 207.76 kcal/mol. Subsequent investigation of 6-methoxy-2-(4-phenylpiperazin-1-yl)quinoline (Compound PA001) using molecular dynamics (MD) simulations with GROMACS revealed potent inhibition and significant interactions at key active site residues. MD simulations confirmed the stability of the Compound PA001-MAO-B complex under physiological conditions. Additionally, ADMET analysis demonstrated that Compound PA001 possesses favorable drug-like properties, including absorption, distribution, metabolism, excretion, and toxicity profiles. These findings underscore 6-methoxy-2-(4-phenylpiperazin-1-yl)quinoline (Compound PA001) as a promising candidate for developing new MAO-B inhibitors to treat neurodegenerative diseases. Conclusion The research highlighted 6-methoxy-2-(4-phenylpiperazin-1-yl)quinoline (Compound PA001) as a promising MAO-B inhibitor, exhibiting strong binding affinity, stability, and desirable drug-like characteristics for the treatment of neurodegenerative diseases. Among the top ten molecules, Compound PA001 was selected for molecular dynamics (MD) simulation using GROMACS. The compound showed potent inhibition, significant interactions with key active site residues, and stable complex formation under physiological conditions. ADMET analysis further confirmed its favorable pharmacokinetic profile. |
