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Identification of Terpenoids From Abrus precatorius Against Parkinson’s Disease Proteins Using In Silico Approach

Parkinson’s disease (PD) is the second major neuro-degenrative disorder that causes morbidity and mortality among older populations. Terpenoids were reported as potential neuro-protective agents. Therefore, this study seeks to unlock the inhibitory potential of terpenoids from Abrus precatorius seed...

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Autores principales: Omoboyowa, Damilola Alex, Balogun, Toheeb Adewale, Omomule, Oluwaseun Motunrayo, Saibu, Oluwatosin A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544761/
https://www.ncbi.nlm.nih.gov/pubmed/34707350
http://dx.doi.org/10.1177/11779322211050757
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author Omoboyowa, Damilola Alex
Balogun, Toheeb Adewale
Omomule, Oluwaseun Motunrayo
Saibu, Oluwatosin A
author_facet Omoboyowa, Damilola Alex
Balogun, Toheeb Adewale
Omomule, Oluwaseun Motunrayo
Saibu, Oluwatosin A
author_sort Omoboyowa, Damilola Alex
collection PubMed
description Parkinson’s disease (PD) is the second major neuro-degenrative disorder that causes morbidity and mortality among older populations. Terpenoids were reported as potential neuro-protective agents. Therefore, this study seeks to unlock the inhibitory potential of terpenoids from Abrus precatorius seeds against proteins involve in PD pathogenesis. In this study, in silico molecular docking of 5 terpenoids derived from high-performance liquid chromatography (HPLC) analysis of A. precatorius seeds against α-synuclein, catechol-o-methyltransferase, and monoamine oxidase B which are markers of PD was performed using Autodock vina. The absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) of the hits were done using Swiss ADME predictor and molecular dynamic (MD) simulation of the hit-protein complex was performed using Desmond Schrodinger software. Five out of 6 compounds satisfied the ADME/Tox parameters and showed varying degrees of binding affinities with selected proteins. Drimenin-α-synuclein complex showed the lowest binding energy of −9.1 kcal/mol followed by interaction with key amino acid residues necessary for α-synuclein inhibition. The selection of this complex was justified by its stability in MD simulation conducted for 10 ns and exhibited stable interaction in terms of root mean square deviation (RMSD) and root mean square deviation error fluctuation (RMSF) values.
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spelling pubmed-85447612021-10-26 Identification of Terpenoids From Abrus precatorius Against Parkinson’s Disease Proteins Using In Silico Approach Omoboyowa, Damilola Alex Balogun, Toheeb Adewale Omomule, Oluwaseun Motunrayo Saibu, Oluwatosin A Bioinform Biol Insights Original Research Parkinson’s disease (PD) is the second major neuro-degenrative disorder that causes morbidity and mortality among older populations. Terpenoids were reported as potential neuro-protective agents. Therefore, this study seeks to unlock the inhibitory potential of terpenoids from Abrus precatorius seeds against proteins involve in PD pathogenesis. In this study, in silico molecular docking of 5 terpenoids derived from high-performance liquid chromatography (HPLC) analysis of A. precatorius seeds against α-synuclein, catechol-o-methyltransferase, and monoamine oxidase B which are markers of PD was performed using Autodock vina. The absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) of the hits were done using Swiss ADME predictor and molecular dynamic (MD) simulation of the hit-protein complex was performed using Desmond Schrodinger software. Five out of 6 compounds satisfied the ADME/Tox parameters and showed varying degrees of binding affinities with selected proteins. Drimenin-α-synuclein complex showed the lowest binding energy of −9.1 kcal/mol followed by interaction with key amino acid residues necessary for α-synuclein inhibition. The selection of this complex was justified by its stability in MD simulation conducted for 10 ns and exhibited stable interaction in terms of root mean square deviation (RMSD) and root mean square deviation error fluctuation (RMSF) values. SAGE Publications 2021-10-20 /pmc/articles/PMC8544761/ /pubmed/34707350 http://dx.doi.org/10.1177/11779322211050757 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Omoboyowa, Damilola Alex
Balogun, Toheeb Adewale
Omomule, Oluwaseun Motunrayo
Saibu, Oluwatosin A
Identification of Terpenoids From Abrus precatorius Against Parkinson’s Disease Proteins Using In Silico Approach
title Identification of Terpenoids From Abrus precatorius Against Parkinson’s Disease Proteins Using In Silico Approach
title_full Identification of Terpenoids From Abrus precatorius Against Parkinson’s Disease Proteins Using In Silico Approach
title_fullStr Identification of Terpenoids From Abrus precatorius Against Parkinson’s Disease Proteins Using In Silico Approach
title_full_unstemmed Identification of Terpenoids From Abrus precatorius Against Parkinson’s Disease Proteins Using In Silico Approach
title_short Identification of Terpenoids From Abrus precatorius Against Parkinson’s Disease Proteins Using In Silico Approach
title_sort identification of terpenoids from abrus precatorius against parkinson’s disease proteins using in silico approach
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544761/
https://www.ncbi.nlm.nih.gov/pubmed/34707350
http://dx.doi.org/10.1177/11779322211050757
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