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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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 |
work_keys_str_mv |
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1725554016585252864 |