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Structure-based approach: molecular insight of pyranocumarins against α-glucosidase through computational studies

α-glucosidase is an enzyme that catalyzes the release of α-glucose molecules through hydrolysis reactions. Regulation of this enzyme can increase sugar levels in type-2 diabetes mellitus (DM) patients. Pyranocoumarin derivatives have been identified as α-glucosidase inhibitors. Through an in silico...

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Autores principales: Abdjan, Muhammad Ikhlas, Aminah, Nanik Siti, Kristanti, Alfinda Novi, Siswanto, Imam, Ilham, Baso, Wardana, Andika Pramudya, Takaya, Yoshiaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890569/
https://www.ncbi.nlm.nih.gov/pubmed/36756595
http://dx.doi.org/10.1039/d2ra07537g
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author Abdjan, Muhammad Ikhlas
Aminah, Nanik Siti
Kristanti, Alfinda Novi
Siswanto, Imam
Ilham, Baso
Wardana, Andika Pramudya
Takaya, Yoshiaki
author_facet Abdjan, Muhammad Ikhlas
Aminah, Nanik Siti
Kristanti, Alfinda Novi
Siswanto, Imam
Ilham, Baso
Wardana, Andika Pramudya
Takaya, Yoshiaki
author_sort Abdjan, Muhammad Ikhlas
collection PubMed
description α-glucosidase is an enzyme that catalyzes the release of α-glucose molecules through hydrolysis reactions. Regulation of this enzyme can increase sugar levels in type-2 diabetes mellitus (DM) patients. Pyranocoumarin derivatives have been identified as α-glucosidase inhibitors. Through an in silico approach, this work studied the inhibition of three pyranocoumarin compounds against the α-glucosidase at the molecular level. Molecular docking and molecular dynamics simulation were performed to understand the dynamics behavior of pyranocoumarin derivatives against α-glucosidase. The prediction of free binding energy (ΔG(bind)) using the Quantum Mechanics/Molecular Mechanics-Generalized Born (QM/MM-GBSA) approach for each system had the following results, PC1-α-Glu: −13.97 kcal mol(−1), PC2-α-Glu: −3.69 kcal mol(−1), and PC3-α-Glu: −13.68 kcal mol(−1). The interaction energy of each system shows that the grid score, ΔG(bind), and ΔG(exp) values had a similar correlation, that was PC1-α-Glu > PC3-α-Glu > PC2-α-Glu. Additionally, the decomposition energy analysis (ΔG(residue)(bind)) was carried out to find out the contribution of the key binding residue. The results showed that there were 15 key binding residues responsible for stabilizing pyranocumarin binding with criteria of ΔG(residue)(bind) < −1.00 kcal mol(−1). The evaluation presented in this work could provide information on the molecular level about the inhibitory efficiency of pyranocoumarin derivatives against a-glucosidase enzyme based on computational studies.
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spelling pubmed-98905692023-02-07 Structure-based approach: molecular insight of pyranocumarins against α-glucosidase through computational studies Abdjan, Muhammad Ikhlas Aminah, Nanik Siti Kristanti, Alfinda Novi Siswanto, Imam Ilham, Baso Wardana, Andika Pramudya Takaya, Yoshiaki RSC Adv Chemistry α-glucosidase is an enzyme that catalyzes the release of α-glucose molecules through hydrolysis reactions. Regulation of this enzyme can increase sugar levels in type-2 diabetes mellitus (DM) patients. Pyranocoumarin derivatives have been identified as α-glucosidase inhibitors. Through an in silico approach, this work studied the inhibition of three pyranocoumarin compounds against the α-glucosidase at the molecular level. Molecular docking and molecular dynamics simulation were performed to understand the dynamics behavior of pyranocoumarin derivatives against α-glucosidase. The prediction of free binding energy (ΔG(bind)) using the Quantum Mechanics/Molecular Mechanics-Generalized Born (QM/MM-GBSA) approach for each system had the following results, PC1-α-Glu: −13.97 kcal mol(−1), PC2-α-Glu: −3.69 kcal mol(−1), and PC3-α-Glu: −13.68 kcal mol(−1). The interaction energy of each system shows that the grid score, ΔG(bind), and ΔG(exp) values had a similar correlation, that was PC1-α-Glu > PC3-α-Glu > PC2-α-Glu. Additionally, the decomposition energy analysis (ΔG(residue)(bind)) was carried out to find out the contribution of the key binding residue. The results showed that there were 15 key binding residues responsible for stabilizing pyranocumarin binding with criteria of ΔG(residue)(bind) < −1.00 kcal mol(−1). The evaluation presented in this work could provide information on the molecular level about the inhibitory efficiency of pyranocoumarin derivatives against a-glucosidase enzyme based on computational studies. The Royal Society of Chemistry 2023-01-25 /pmc/articles/PMC9890569/ /pubmed/36756595 http://dx.doi.org/10.1039/d2ra07537g Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Abdjan, Muhammad Ikhlas
Aminah, Nanik Siti
Kristanti, Alfinda Novi
Siswanto, Imam
Ilham, Baso
Wardana, Andika Pramudya
Takaya, Yoshiaki
Structure-based approach: molecular insight of pyranocumarins against α-glucosidase through computational studies
title Structure-based approach: molecular insight of pyranocumarins against α-glucosidase through computational studies
title_full Structure-based approach: molecular insight of pyranocumarins against α-glucosidase through computational studies
title_fullStr Structure-based approach: molecular insight of pyranocumarins against α-glucosidase through computational studies
title_full_unstemmed Structure-based approach: molecular insight of pyranocumarins against α-glucosidase through computational studies
title_short Structure-based approach: molecular insight of pyranocumarins against α-glucosidase through computational studies
title_sort structure-based approach: molecular insight of pyranocumarins against α-glucosidase through computational studies
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890569/
https://www.ncbi.nlm.nih.gov/pubmed/36756595
http://dx.doi.org/10.1039/d2ra07537g
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