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JudulVirtual Screening, Pharmacokinetic Prediction, Molecular Docking and Dynamics Approaches in the Search for Selective and Potent Natural Molecular Inhibitors of MAO-B for the Treatment of Neurodegenerative Diseases
DeskripsiThis research aims to find natural product compounds that have the potential to act as MAO-B inhibitors that are useful in the treatment of neurodegenerative diseases, through the stages: a) Virtual Screening, b) Molecule Docking, c) Pharmacokinetic and toxicity prediction, and d) Simulation approach Molecular dynamics.
The research steps include the following steps: a) searching for molecules in the ZINC15 data base that are similar to the natural ligand molecule (safinamide) obtained from the protein data bank (PDB code: 2v5z) and the control ligand L-DOPA. A total of 481 molecules were downloaded from the data base and then molecular docking was carried out using the autodock program on the MAO-B target in the 2v5z receptor. After carrying out the docking analysis, 48 ligand molecules were selected which had a binding affinity (G/kcal/mol) that was smaller than the G of the natural ligand and the control ligand and nine (9) ligand molecules were taken to be tested: (i) ligand-ligand interactions MAO-B with discovery studio, (ii) Absorption, Distribution, Metabolism and Excretion properties with SwissADME and (iii) toxicity using PROTOX-II. Molecular dynamics simulations were carried out to determine the stability of ligands in proteins. Ligand complex [O=C(O[C@H](Cc1ccc(O)c(O)c1)C(=O)O)c1cc(-c2ccc(O)c(O)c2)c2cc(O)c( O)cc2c1]-2v5z was chosen to simulate for 100 ps.
The results of the molecular docking study showed that there were 9 molecules that had binding affinity values that were smaller than the binding affinity of the natural ligand and the control ligand. Ligand and residue interactions are dominated by hydrogen bonds, donor-donor and pi-pi stacked interactions. Based on SwissADME, the Blood Brain Barrier (BBB) permeant on ligand number 1, 2, 3, 5, 6, and 9 shows that it is orally active and cannot pass through the BBB and will not cause any side effects, whereas ligand number 4, 7, 8 , 10, and 11 can cross the BBB and may cause side effects. Based on the results of toxicity prediction (PROTOX-II), it is known that there are four (4) ligands in class V, five (5) ligands in class IV and the rest in class II. Hepatotoxicity, carcinogenicity, and Phosphoprotein (Tumor Suppressor) p53 in eleven ligands are predicted to be inactive and have a small probability. The stimulated [CC(C)c1ccc(NC(=O)Cn2cnc3c2c(=O)n(C)c(=O)n3C)cc1]-2v5z complex apparently still shows ligand-protein fluctuations so that its conformation is still unstable.
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