Computational drug design of potential α-amylase inhibitors using some commercially available flavonoids

The primary objective of this study was to investigate the α-amylase inhibitory activity of flavonoids using in silico docking studies. In this perspective, flavonoids like biochanin, chrysin, hesperitin, morin, tricin and vitexycarpin were selected. Acarbose, a known α-amylase inhibitor was used as...

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Main Authors: Arumugam Madeswaran, Kuppusamy Asokkumar, Muthuswamy Umamaheswari, Thirumalaisamy Sivashanmugam, Varadharajan Subhadradevi, Puliyath Jagannath
Format: Article
Language:English
Published: Bangladesh Pharmacological Society 2014-02-01
Series:Bangladesh Journal of Pharmacology
Subjects:
Online Access:https://www.banglajol.info/index.php/BJP/article/view/17502
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author Arumugam Madeswaran
Kuppusamy Asokkumar
Muthuswamy Umamaheswari
Thirumalaisamy Sivashanmugam
Varadharajan Subhadradevi
Puliyath Jagannath
author_facet Arumugam Madeswaran
Kuppusamy Asokkumar
Muthuswamy Umamaheswari
Thirumalaisamy Sivashanmugam
Varadharajan Subhadradevi
Puliyath Jagannath
author_sort Arumugam Madeswaran
collection DOAJ
description The primary objective of this study was to investigate the α-amylase inhibitory activity of flavonoids using in silico docking studies. In this perspective, flavonoids like biochanin, chrysin, hesperitin, morin, tricin and vitexycarpin were selected. Acarbose, a known α-amylase inhibitor was used as the standard. In silico docking studies were carried out using AutoDock 4.2, based on the Lamarckian genetic algorithm principle. The results showed that all the selected flavonoids showed binding energy ranging between -7.20 kcal/mol to -6.21 kcal/mol when compared with that of the standard (-2.94 kcal/mol). Inhibition constant (5.31 µM to 27.89 µM) and intermolecular energy (-8.99 kcal/mol to -7.41 kcal/mol) of the flavonoids also coincide with the binding energy. The α-amylase inhibitory activity of the selected flavonoids was in order of tricin > hesperitin > vitexycarpin > chrysin > morin > biochanin. These molecular docking analyses could lead to the further development of potent α-amylase inhibitors for the treatment of diabetes.
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spelling doaj.art-6381e20cbe7040dd9caf0963189dcc062022-12-22T03:05:24ZengBangladesh Pharmacological SocietyBangladesh Journal of Pharmacology1991-00882014-02-019110.3329/bjp.v9i1.17502Computational drug design of potential α-amylase inhibitors using some commercially available flavonoidsArumugam Madeswaran0Kuppusamy Asokkumar1Muthuswamy Umamaheswari2Thirumalaisamy Sivashanmugam3Varadharajan Subhadradevi4Puliyath Jagannath5Department of Pharmacology, College of Pharmacy, Sri Ramakrishna Institute of Paramedical Sciences, Coimbatore, Tamil NaduDepartment of Pharmacology, College of Pharmacy, Sri Ramakrishna Institute of Paramedical Sciences, Coimbatore, Tamil NaduDepartment of Pharmacology, College of Pharmacy, Sri Ramakrishna Institute of Paramedical Sciences, Coimbatore, Tamil NaduDepartment of Pharmacology, College of Pharmacy, Sri Ramakrishna Institute of Paramedical Sciences, Coimbatore, Tamil NaduDepartment of Pharmacology, College of Pharmacy, Sri Ramakrishna Institute of Paramedical Sciences, Coimbatore, Tamil NaduDepartment of Pharmacology, College of Pharmacy, Sri Ramakrishna Institute of Paramedical Sciences, Coimbatore, Tamil NaduThe primary objective of this study was to investigate the α-amylase inhibitory activity of flavonoids using in silico docking studies. In this perspective, flavonoids like biochanin, chrysin, hesperitin, morin, tricin and vitexycarpin were selected. Acarbose, a known α-amylase inhibitor was used as the standard. In silico docking studies were carried out using AutoDock 4.2, based on the Lamarckian genetic algorithm principle. The results showed that all the selected flavonoids showed binding energy ranging between -7.20 kcal/mol to -6.21 kcal/mol when compared with that of the standard (-2.94 kcal/mol). Inhibition constant (5.31 µM to 27.89 µM) and intermolecular energy (-8.99 kcal/mol to -7.41 kcal/mol) of the flavonoids also coincide with the binding energy. The α-amylase inhibitory activity of the selected flavonoids was in order of tricin > hesperitin > vitexycarpin > chrysin > morin > biochanin. These molecular docking analyses could lead to the further development of potent α-amylase inhibitors for the treatment of diabetes.https://www.banglajol.info/index.php/BJP/article/view/17502AcarboseDiabetesBinding energyInhibition constantIntermolecular energy
spellingShingle Arumugam Madeswaran
Kuppusamy Asokkumar
Muthuswamy Umamaheswari
Thirumalaisamy Sivashanmugam
Varadharajan Subhadradevi
Puliyath Jagannath
Computational drug design of potential α-amylase inhibitors using some commercially available flavonoids
Bangladesh Journal of Pharmacology
Acarbose
Diabetes
Binding energy
Inhibition constant
Intermolecular energy
title Computational drug design of potential α-amylase inhibitors using some commercially available flavonoids
title_full Computational drug design of potential α-amylase inhibitors using some commercially available flavonoids
title_fullStr Computational drug design of potential α-amylase inhibitors using some commercially available flavonoids
title_full_unstemmed Computational drug design of potential α-amylase inhibitors using some commercially available flavonoids
title_short Computational drug design of potential α-amylase inhibitors using some commercially available flavonoids
title_sort computational drug design of potential α amylase inhibitors using some commercially available flavonoids
topic Acarbose
Diabetes
Binding energy
Inhibition constant
Intermolecular energy
url https://www.banglajol.info/index.php/BJP/article/view/17502
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