In silico Studies Combining QSAR Models, DFT-based Reactivity Descriptors and Docking Simulations of Phthalimide Congeners with Hypolipidemic Activity

In this current study, a selected group of physicochemical descriptors extracted from the formalism of the density functional theory were used for modeling a series of phthalimide congeners with tested hypolipidemic activity once. Based on unsupervised pattern recognition of HCA and PCA followed by...

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Main Authors: Camila da Câmara Lopes, Maria Angélica Bonfim Oliveira, Regiane de Cássia M. U. de Araújo, Boaz Galdino de Oliveira
Format: Article
Language:English
Published: Universidade Federal de Mato Grosso do Sul 2021-07-01
Series:Orbital: The Electronic Journal of Chemistry
Subjects:
Online Access:https://periodicos.ufms.br/index.php/orbital/article/view/15590
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author Camila da Câmara Lopes
Maria Angélica Bonfim Oliveira
Regiane de Cássia M. U. de Araújo
Boaz Galdino de Oliveira
author_facet Camila da Câmara Lopes
Maria Angélica Bonfim Oliveira
Regiane de Cássia M. U. de Araújo
Boaz Galdino de Oliveira
author_sort Camila da Câmara Lopes
collection DOAJ
description In this current study, a selected group of physicochemical descriptors extracted from the formalism of the density functional theory were used for modeling a series of phthalimide congeners with tested hypolipidemic activity once. Based on unsupervised pattern recognition of HCA and PCA followed by the PLS regressions, the final content may be considered trustful for predicting the biological activity due to the results of r2cal = 0.937, r2CV = 0.591 and r2test = 0.85. Moreover, the molecular modeling was performed through the docking protocol for predicting the ligand pose on the HMG-CoA reductase. The protocols of the AutoDock Tools and AutoDock Vina were used for determining the interaction scores (ΔG) and inhibition constants (Ki). Among all congeners studied, the docking results pointed out a potential compound. By taking into account the widely known top selling drugs, and just as is well-known that atorvastatin is one of them due its capability to lower the cholesterol levels, the structure of this drug was subjected to a docking study in order to guide us to a better understanding of the results available here. DOI: http://dx.doi.org/10.17807/orbital.v13i3.1493
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spelling doaj.art-600592e28dca4def8e3924673a5b23972023-01-20T10:48:53ZengUniversidade Federal de Mato Grosso do SulOrbital: The Electronic Journal of Chemistry1984-64282021-07-01133In silico Studies Combining QSAR Models, DFT-based Reactivity Descriptors and Docking Simulations of Phthalimide Congeners with Hypolipidemic ActivityCamila da Câmara Lopes0Maria Angélica Bonfim Oliveira1Regiane de Cássia M. U. de Araújo2Boaz Galdino de Oliveira 3Universidade Federal do Oeste da Bahia, Barreiras, BahiaUniversidade Federal do Oeste da Bahia, Barreiras, BahiaUniversidade Federal da ParaíbaUniversidade Federal do Oeste da Bahia, Barreiras, Bahia In this current study, a selected group of physicochemical descriptors extracted from the formalism of the density functional theory were used for modeling a series of phthalimide congeners with tested hypolipidemic activity once. Based on unsupervised pattern recognition of HCA and PCA followed by the PLS regressions, the final content may be considered trustful for predicting the biological activity due to the results of r2cal = 0.937, r2CV = 0.591 and r2test = 0.85. Moreover, the molecular modeling was performed through the docking protocol for predicting the ligand pose on the HMG-CoA reductase. The protocols of the AutoDock Tools and AutoDock Vina were used for determining the interaction scores (ΔG) and inhibition constants (Ki). Among all congeners studied, the docking results pointed out a potential compound. By taking into account the widely known top selling drugs, and just as is well-known that atorvastatin is one of them due its capability to lower the cholesterol levels, the structure of this drug was subjected to a docking study in order to guide us to a better understanding of the results available here. DOI: http://dx.doi.org/10.17807/orbital.v13i3.1493 https://periodicos.ufms.br/index.php/orbital/article/view/15590PhthalimideHypolipidemicQSARDFTDocking
spellingShingle Camila da Câmara Lopes
Maria Angélica Bonfim Oliveira
Regiane de Cássia M. U. de Araújo
Boaz Galdino de Oliveira
In silico Studies Combining QSAR Models, DFT-based Reactivity Descriptors and Docking Simulations of Phthalimide Congeners with Hypolipidemic Activity
Orbital: The Electronic Journal of Chemistry
Phthalimide
Hypolipidemic
QSAR
DFT
Docking
title In silico Studies Combining QSAR Models, DFT-based Reactivity Descriptors and Docking Simulations of Phthalimide Congeners with Hypolipidemic Activity
title_full In silico Studies Combining QSAR Models, DFT-based Reactivity Descriptors and Docking Simulations of Phthalimide Congeners with Hypolipidemic Activity
title_fullStr In silico Studies Combining QSAR Models, DFT-based Reactivity Descriptors and Docking Simulations of Phthalimide Congeners with Hypolipidemic Activity
title_full_unstemmed In silico Studies Combining QSAR Models, DFT-based Reactivity Descriptors and Docking Simulations of Phthalimide Congeners with Hypolipidemic Activity
title_short In silico Studies Combining QSAR Models, DFT-based Reactivity Descriptors and Docking Simulations of Phthalimide Congeners with Hypolipidemic Activity
title_sort in silico studies combining qsar models dft based reactivity descriptors and docking simulations of phthalimide congeners with hypolipidemic activity
topic Phthalimide
Hypolipidemic
QSAR
DFT
Docking
url https://periodicos.ufms.br/index.php/orbital/article/view/15590
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