QSAR study and molecular docking of benzimidazole derivatives as potent activators of AMP-activated protein kinase

3D-QSAR and molecular docking methods were performed on a set of 74 benzimidazole derivatives previously studied as activators of the AMP-activated protein kinase (AMPK), a protein that plays a key role in the regulation of cellular energy balance. Relative enzyme activity (REA) of 74 compounds was...

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Main Authors: Nidal Naceiri Mrabti, Menana Elhallaoui
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Journal of Taibah University for Science
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1658365516300279
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spelling doaj-e6b98234ea4f47189d099b61182a75d62020-11-24T23:26:40ZengTaylor & Francis GroupJournal of Taibah University for Science1658-36552017-01-01111183910.1016/j.jtusci.2016.05.004QSAR study and molecular docking of benzimidazole derivatives as potent activators of AMP-activated protein kinaseNidal Naceiri Mrabti0Menana Elhallaoui1Engineering Materials, Modeling and Environmental Laboratory, Faculty of Science, University Sidi Mohammed Ben Abdellah, Dhar Mehraz, B.P. 1796, Atlas, Fes, MoroccoDepartment of Chemistry, Faculty of Science, University Sidi Mohammed Ben Abdellah, Dhar Mehraz, B.P. 1796, Atlas, Fes, Morocco3D-QSAR and molecular docking methods were performed on a set of 74 benzimidazole derivatives previously studied as activators of the AMP-activated protein kinase (AMPK), a protein that plays a key role in the regulation of cellular energy balance. Relative enzyme activity (REA) of 74 compounds was quantitatively modelled using multiple linear regression (MLR) and neuronal networks (NN). The proposed QSAR model provided statistically significant results (rMLR = 0.89; rNN = 0.95 and rCV = 0.90) and was validated using the leave-one-out method. The general binding mode of benzimidazole derivatives to the AMPK binding site was explored using molecular docking, with a focus on the most active molecules of our set, compounds 19 and 25.http://www.sciencedirect.com/science/article/pii/S1658365516300279REA (relative enzyme activity)Benzimidazole derivativesQuantitative structure–activity relationship (QSAR)Multiple linear regression (MLR)Neural network (NN)Molecular docking
collection DOAJ
language English
format Article
sources DOAJ
author Nidal Naceiri Mrabti
Menana Elhallaoui
spellingShingle Nidal Naceiri Mrabti
Menana Elhallaoui
QSAR study and molecular docking of benzimidazole derivatives as potent activators of AMP-activated protein kinase
Journal of Taibah University for Science
REA (relative enzyme activity)
Benzimidazole derivatives
Quantitative structure–activity relationship (QSAR)
Multiple linear regression (MLR)
Neural network (NN)
Molecular docking
author_facet Nidal Naceiri Mrabti
Menana Elhallaoui
author_sort Nidal Naceiri Mrabti
title QSAR study and molecular docking of benzimidazole derivatives as potent activators of AMP-activated protein kinase
title_short QSAR study and molecular docking of benzimidazole derivatives as potent activators of AMP-activated protein kinase
title_full QSAR study and molecular docking of benzimidazole derivatives as potent activators of AMP-activated protein kinase
title_fullStr QSAR study and molecular docking of benzimidazole derivatives as potent activators of AMP-activated protein kinase
title_full_unstemmed QSAR study and molecular docking of benzimidazole derivatives as potent activators of AMP-activated protein kinase
title_sort qsar study and molecular docking of benzimidazole derivatives as potent activators of amp-activated protein kinase
publisher Taylor & Francis Group
series Journal of Taibah University for Science
issn 1658-3655
publishDate 2017-01-01
description 3D-QSAR and molecular docking methods were performed on a set of 74 benzimidazole derivatives previously studied as activators of the AMP-activated protein kinase (AMPK), a protein that plays a key role in the regulation of cellular energy balance. Relative enzyme activity (REA) of 74 compounds was quantitatively modelled using multiple linear regression (MLR) and neuronal networks (NN). The proposed QSAR model provided statistically significant results (rMLR = 0.89; rNN = 0.95 and rCV = 0.90) and was validated using the leave-one-out method. The general binding mode of benzimidazole derivatives to the AMPK binding site was explored using molecular docking, with a focus on the most active molecules of our set, compounds 19 and 25.
topic REA (relative enzyme activity)
Benzimidazole derivatives
Quantitative structure–activity relationship (QSAR)
Multiple linear regression (MLR)
Neural network (NN)
Molecular docking
url http://www.sciencedirect.com/science/article/pii/S1658365516300279
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