Insights into the interactions between maleimide derivates and GSK3β combining molecular docking and QSAR.

Many protein kinase (PK) inhibitors have been reported in recent years, but only a few have been approved for clinical use. The understanding of the available molecular information using computational tools is an alternative to contribute to this process. With this in mind, we studied the binding mo...

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Main Authors: Luisa Quesada-Romero, Karel Mena-Ulecia, William Tiznado, Julio Caballero
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4092126?pdf=render
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spelling doaj-56be594966224ff391ae06d72338e1cf2020-11-25T02:34:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0197e10221210.1371/journal.pone.0102212Insights into the interactions between maleimide derivates and GSK3β combining molecular docking and QSAR.Luisa Quesada-RomeroKarel Mena-UleciaWilliam TiznadoJulio CaballeroMany protein kinase (PK) inhibitors have been reported in recent years, but only a few have been approved for clinical use. The understanding of the available molecular information using computational tools is an alternative to contribute to this process. With this in mind, we studied the binding modes of 77 maleimide derivates inside the PK glycogen synthase kinase 3 beta (GSK3β) using docking experiments. We found that the orientations that these compounds adopt inside GSK3β binding site prioritize the formation of hydrogen bond (HB) interactions between the maleimide group and the residues at the hinge region (residues Val135 and Asp133), and adopt propeller-like conformations (where the maleimide is the propeller axis and the heterocyclic substituents are two slanted blades). In addition, quantitative structure-activity relationship (QSAR) models using CoMSIA methodology were constructed to explain the trend of the GSK3β inhibitory activities for the studied compounds. We found a model to explain the structure-activity relationship of non-cyclic maleimide (NCM) derivatives (54 compounds). The best CoMSIA model (training set included 44 compounds) included steric, hydrophobic, and HB donor fields and had a good Q(2) value of 0.539. It also predicted adequately the most active compounds contained in the test set. Furthermore, the analysis of the plots of the steric CoMSIA field describes the elements involved in the differential potency of the inhibitors that can be considered for the selection of suitable inhibitors.http://europepmc.org/articles/PMC4092126?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Luisa Quesada-Romero
Karel Mena-Ulecia
William Tiznado
Julio Caballero
spellingShingle Luisa Quesada-Romero
Karel Mena-Ulecia
William Tiznado
Julio Caballero
Insights into the interactions between maleimide derivates and GSK3β combining molecular docking and QSAR.
PLoS ONE
author_facet Luisa Quesada-Romero
Karel Mena-Ulecia
William Tiznado
Julio Caballero
author_sort Luisa Quesada-Romero
title Insights into the interactions between maleimide derivates and GSK3β combining molecular docking and QSAR.
title_short Insights into the interactions between maleimide derivates and GSK3β combining molecular docking and QSAR.
title_full Insights into the interactions between maleimide derivates and GSK3β combining molecular docking and QSAR.
title_fullStr Insights into the interactions between maleimide derivates and GSK3β combining molecular docking and QSAR.
title_full_unstemmed Insights into the interactions between maleimide derivates and GSK3β combining molecular docking and QSAR.
title_sort insights into the interactions between maleimide derivates and gsk3β combining molecular docking and qsar.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description Many protein kinase (PK) inhibitors have been reported in recent years, but only a few have been approved for clinical use. The understanding of the available molecular information using computational tools is an alternative to contribute to this process. With this in mind, we studied the binding modes of 77 maleimide derivates inside the PK glycogen synthase kinase 3 beta (GSK3β) using docking experiments. We found that the orientations that these compounds adopt inside GSK3β binding site prioritize the formation of hydrogen bond (HB) interactions between the maleimide group and the residues at the hinge region (residues Val135 and Asp133), and adopt propeller-like conformations (where the maleimide is the propeller axis and the heterocyclic substituents are two slanted blades). In addition, quantitative structure-activity relationship (QSAR) models using CoMSIA methodology were constructed to explain the trend of the GSK3β inhibitory activities for the studied compounds. We found a model to explain the structure-activity relationship of non-cyclic maleimide (NCM) derivatives (54 compounds). The best CoMSIA model (training set included 44 compounds) included steric, hydrophobic, and HB donor fields and had a good Q(2) value of 0.539. It also predicted adequately the most active compounds contained in the test set. Furthermore, the analysis of the plots of the steric CoMSIA field describes the elements involved in the differential potency of the inhibitors that can be considered for the selection of suitable inhibitors.
url http://europepmc.org/articles/PMC4092126?pdf=render
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