Repurposing Mitragynine as Anti-SARS-CoV-2 Agent Evidenced by In Silico Predictive Approach

The outbreak of a new coronavirus strain (SARS-CoV-2) calls for the development of treatment approaches to address the disease. Therefore, an in silico study was conducted to evaluate druggability capacity of mitragynine, a natural indole alkaloid compound, using adsorption, distribution, metabolism...

Full description

Bibliographic Details
Published in:Malaysian Journal of Fundamental and Applied Sciences
Main Author: Tap F.M.; Zakaria N.H.; Majid F.A.A.; Huq A.K.M.M.; Jamal J.A.
Format: Article
Language:English
Published: Penerbit UTM Press 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145931929&doi=10.11113%2fmjfas.v18n6.2637&partnerID=40&md5=99418f1994dd63effbb8b4dd3e3827ce
id 2-s2.0-85145931929
spelling 2-s2.0-85145931929
Tap F.M.; Zakaria N.H.; Majid F.A.A.; Huq A.K.M.M.; Jamal J.A.
Repurposing Mitragynine as Anti-SARS-CoV-2 Agent Evidenced by In Silico Predictive Approach
2022
Malaysian Journal of Fundamental and Applied Sciences
18
6
10.11113/mjfas.v18n6.2637
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145931929&doi=10.11113%2fmjfas.v18n6.2637&partnerID=40&md5=99418f1994dd63effbb8b4dd3e3827ce
The outbreak of a new coronavirus strain (SARS-CoV-2) calls for the development of treatment approaches to address the disease. Therefore, an in silico study was conducted to evaluate druggability capacity of mitragynine, a natural indole alkaloid compound, using adsorption, distribution, metabolism, and excretion (ADME) prediction and molecular docking simulation to the region binding domain of severe acute respiratory coronavirus 2 (SARS-CoV-2 RBD). The pharmacodynamics of mitragynine were evaluated for its druggability using SwissADME software, and molecular docking simulation was performed using AutoDock software, using SARS-CoV-2 RBD (PDB ID: 6M0J) as the protein target retrieved from Protein Data Bank (PDB). ADME predicted that this compound has excellent druggability, transport properties, and pharmacokinetics, following Lipinski's rule of five. Mitragynine was also nonmutagenic based on the AMES toxicity test. No PAINS alert was observed and the synthetic acceptability score was 4.49, suggesting a moderately synthesised compound. Through the molecular docking approach, mitragynine successfully docked the binding site of SARS-CoV-2 RBD with a binding energy of -6.3kcal/mol and formed hydrogen bonds with the residue N501, which is one of the residues at the binding site of RBD. These findings, together with other therapeutic qualities of mitragynine warrant more research into molecular dynamics, in vitro, and in vivo studies in COVID-19 therapy. © 2022 Malaysian Journal of Fundamental and Applied Sciences.
Penerbit UTM Press
2289599X
English
Article
All Open Access; Gold Open Access
author Tap F.M.; Zakaria N.H.; Majid F.A.A.; Huq A.K.M.M.; Jamal J.A.
spellingShingle Tap F.M.; Zakaria N.H.; Majid F.A.A.; Huq A.K.M.M.; Jamal J.A.
Repurposing Mitragynine as Anti-SARS-CoV-2 Agent Evidenced by In Silico Predictive Approach
author_facet Tap F.M.; Zakaria N.H.; Majid F.A.A.; Huq A.K.M.M.; Jamal J.A.
author_sort Tap F.M.; Zakaria N.H.; Majid F.A.A.; Huq A.K.M.M.; Jamal J.A.
title Repurposing Mitragynine as Anti-SARS-CoV-2 Agent Evidenced by In Silico Predictive Approach
title_short Repurposing Mitragynine as Anti-SARS-CoV-2 Agent Evidenced by In Silico Predictive Approach
title_full Repurposing Mitragynine as Anti-SARS-CoV-2 Agent Evidenced by In Silico Predictive Approach
title_fullStr Repurposing Mitragynine as Anti-SARS-CoV-2 Agent Evidenced by In Silico Predictive Approach
title_full_unstemmed Repurposing Mitragynine as Anti-SARS-CoV-2 Agent Evidenced by In Silico Predictive Approach
title_sort Repurposing Mitragynine as Anti-SARS-CoV-2 Agent Evidenced by In Silico Predictive Approach
publishDate 2022
container_title Malaysian Journal of Fundamental and Applied Sciences
container_volume 18
container_issue 6
doi_str_mv 10.11113/mjfas.v18n6.2637
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145931929&doi=10.11113%2fmjfas.v18n6.2637&partnerID=40&md5=99418f1994dd63effbb8b4dd3e3827ce
description The outbreak of a new coronavirus strain (SARS-CoV-2) calls for the development of treatment approaches to address the disease. Therefore, an in silico study was conducted to evaluate druggability capacity of mitragynine, a natural indole alkaloid compound, using adsorption, distribution, metabolism, and excretion (ADME) prediction and molecular docking simulation to the region binding domain of severe acute respiratory coronavirus 2 (SARS-CoV-2 RBD). The pharmacodynamics of mitragynine were evaluated for its druggability using SwissADME software, and molecular docking simulation was performed using AutoDock software, using SARS-CoV-2 RBD (PDB ID: 6M0J) as the protein target retrieved from Protein Data Bank (PDB). ADME predicted that this compound has excellent druggability, transport properties, and pharmacokinetics, following Lipinski's rule of five. Mitragynine was also nonmutagenic based on the AMES toxicity test. No PAINS alert was observed and the synthetic acceptability score was 4.49, suggesting a moderately synthesised compound. Through the molecular docking approach, mitragynine successfully docked the binding site of SARS-CoV-2 RBD with a binding energy of -6.3kcal/mol and formed hydrogen bonds with the residue N501, which is one of the residues at the binding site of RBD. These findings, together with other therapeutic qualities of mitragynine warrant more research into molecular dynamics, in vitro, and in vivo studies in COVID-19 therapy. © 2022 Malaysian Journal of Fundamental and Applied Sciences.
publisher Penerbit UTM Press
issn 2289599X
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
_version_ 1809678480189685760