In-silico Molecular Docking of Two Bioactive Constituents (Quercetin 3-Glucuronide and Quercitrin) from Polygonum minus Leaves into Monoamine Oxidase-A Crystal Structure

The aim of the current research was to dock the two abundant bioactive constituents of Polygonum minus leaf extract, in1cluding Quercetin 3-Glucuronide (Miquelianin) and Quercitrin (Quercetin-3-rhamnoside). In-silico Molecular modelling technique was used to predict about a protein (enzyme) interacts with molecules (ligands). Monoamine oxidase-A (MAO-A) is the key enzyme that is involved in the breakdown of neurotransmitters like serotonin and noradrenaline. Drugs that are involved in its inhibition, are considered to be antidepressant agents. This molecular docking study observed the binding energy of selected ligands and their interactions with amino acid residue along with bond types in the MAO-A structure. Molecular docking was done using Molecular Operating Environment (MOE) software, whereas visualization and expression of results were carried out using Discovery Studio (DS) visualizer. Clorgyline was used in this study as a co-crystal ligand, whereas moclobemide was used as a standard MAO-A inhibitor, and Amitriptyline was used as a common antidepressant which also has some MAO-A inhibitory effect. Quercetin 3-glucuronide (Miquelianin) and Quercitrin (Quercetin-3-rhamnoside) have more binding affinities with MAO-A structure as compared to all other drugs. Its interaction pattern was most likely moclobemide and Clorgyline, which are considered standard MAO-A inhibitors in this study. Based on these results, it is concluded that Quercetin 3-Glucuronide (Miquelianin) and Quercitrin (Quercetin-3-rhamnoside) have the potential to become potent MAO-A inhibitors in future.

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Journal
Biomedical & Pharmacology Journal
Published
2024-09-30
DOI
https://doi.org/10.13005/bpj/2983
Primary Topic
Computational Drug Discovery Methods
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article
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article

In-silico Molecular Docking of Two Bioactive Constituents (Quercetin 3-Glucuronide and Quercitrin) from Polygonum minus Leaves into Monoamine Oxidase-A Crystal Structure

Dzul Azri Mohamed Noor, Umar Ibrahim, Nur Hidayah Kaz Abdul Aziz, Zalına Zaharı et al.
Biomedical & Pharmacology Journal
Computational Drug Discovery Methods
article

In-silico Molecular Docking of Two Bioactive Constituents (Quercetin 3-Glucuronide and Quercitrin) from Polygonum minus Leaves into Monoamine Oxidase-A Crystal Structure

Dzul Azri Mohamed Noor, Umar Ibrahim, Nur Hidayah Kaz Abdul Aziz, Zalına Zaharı, Muhammad Irfan Bashir
article en

Abstract

The aim of the current research was to dock the two abundant bioactive constituents of Polygonum minus leaf extract, in1cluding Quercetin 3-Glucuronide (Miquelianin) and Quercitrin (Quercetin-3-rhamnoside). In-silico Molecular modelling technique was used to predict about a protein (enzyme) interacts with molecules (ligands). Monoamine oxidase-A (MAO-A) is the key enzyme that is involved in the breakdown of neurotransmitters like serotonin and noradrenaline. Drugs that are involved in its inhibition, are considered to be antidepressant agents. This molecular docking study observed the binding energy of selected ligands and their interactions with amino acid residue along with bond types in the MAO-A structure. Molecular docking was done using Molecular Operating Environment (MOE) software, whereas visualization and expression of results were carried out using Discovery Studio (DS) visualizer. Clorgyline was used in this study as a co-crystal ligand, whereas moclobemide was used as a standard MAO-A inhibitor, and Amitriptyline was used as a common antidepressant which also has some MAO-A inhibitory effect. Quercetin 3-glucuronide (Miquelianin) and Quercitrin (Quercetin-3-rhamnoside) have more binding affinities with MAO-A structure as compared to all other drugs. Its interaction pattern was most likely moclobemide and Clorgyline, which are considered standard MAO-A inhibitors in this study. Based on these results, it is concluded that Quercetin 3-Glucuronide (Miquelianin) and Quercitrin (Quercetin-3-rhamnoside) have the potential to become potent MAO-A inhibitors in future.

Biomedical & Pharmacology JournalVol. 17(3)
Universiti Sains Malaysia (MY), Sultan Zainal Abidin University (MY)
Openalex Percentile: Top 79%
Computational Drug Discovery Methods
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