Cargando…

Molecular structures, chemical descriptors, and pancreatic lipase (1LPB) inhibition by natural products: a DFT investigation and molecular docking prediction

Density functional theory (DFT) calculations and molecular docking have been carried out on natural products containing eugenol, gingerol, ascorbic acid, oleurpoein, piperine, hesperidin, quercetin, Luteolin, and curcumin in order to predict their biological activities and to analyze their pancreati...

Descripción completa

Detalles Bibliográficos
Autores principales: Allal, Hamza, Nemdili, Hacene, Zerizer, Mohamed Amine, Zouchoune, Bachir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148582/
https://www.ncbi.nlm.nih.gov/pubmed/37363042
http://dx.doi.org/10.1007/s11224-023-02176-2
_version_ 1785035004630269952
author Allal, Hamza
Nemdili, Hacene
Zerizer, Mohamed Amine
Zouchoune, Bachir
author_facet Allal, Hamza
Nemdili, Hacene
Zerizer, Mohamed Amine
Zouchoune, Bachir
author_sort Allal, Hamza
collection PubMed
description Density functional theory (DFT) calculations and molecular docking have been carried out on natural products containing eugenol, gingerol, ascorbic acid, oleurpoein, piperine, hesperidin, quercetin, Luteolin, and curcumin in order to predict their biological activities and to analyze their pancreatic lipase inhibition. The biological activity predictions are based on the global and local chemical descriptors, namely, HOMO–LUMO gaps, chemical hardness, chemical potential, electrophilicity, dipole moment, and Fukui functions. Our findings show that the studied compounds can be divided into two groups based on the chemical descriptors; the first group is composed of eugenol, gingerol, ascorbic acid, and oleuropein and the second one is composed of piperine, hesperidin, quercetin, Luteolin, and curcumin depending on the HOMO–LUMO gaps and electrophilicity values predicting best reactivity for the second group than the first one. The frontier orbitals offer a deeper insight concerning the electron donor and electron acceptor capabilities, whereas the local descriptors resulting from Fukui functions put emphasis on the active sites of different candidate ligands. The molecular docking was performed in order to compare and identify the inhibition activity of the natural candidate ligands against pancreatic lipase which were compared to that of synthesized ones. The molecular docking results revealed that the Luteolin compound has the best binding affinity of −8.56 kcal/mol due to their unique molecular structure and the position of -OH aromatic substituents. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11224-023-02176-2.
format Online
Article
Text
id pubmed-10148582
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-101485822023-05-01 Molecular structures, chemical descriptors, and pancreatic lipase (1LPB) inhibition by natural products: a DFT investigation and molecular docking prediction Allal, Hamza Nemdili, Hacene Zerizer, Mohamed Amine Zouchoune, Bachir Struct Chem Research Density functional theory (DFT) calculations and molecular docking have been carried out on natural products containing eugenol, gingerol, ascorbic acid, oleurpoein, piperine, hesperidin, quercetin, Luteolin, and curcumin in order to predict their biological activities and to analyze their pancreatic lipase inhibition. The biological activity predictions are based on the global and local chemical descriptors, namely, HOMO–LUMO gaps, chemical hardness, chemical potential, electrophilicity, dipole moment, and Fukui functions. Our findings show that the studied compounds can be divided into two groups based on the chemical descriptors; the first group is composed of eugenol, gingerol, ascorbic acid, and oleuropein and the second one is composed of piperine, hesperidin, quercetin, Luteolin, and curcumin depending on the HOMO–LUMO gaps and electrophilicity values predicting best reactivity for the second group than the first one. The frontier orbitals offer a deeper insight concerning the electron donor and electron acceptor capabilities, whereas the local descriptors resulting from Fukui functions put emphasis on the active sites of different candidate ligands. The molecular docking was performed in order to compare and identify the inhibition activity of the natural candidate ligands against pancreatic lipase which were compared to that of synthesized ones. The molecular docking results revealed that the Luteolin compound has the best binding affinity of −8.56 kcal/mol due to their unique molecular structure and the position of -OH aromatic substituents. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11224-023-02176-2. Springer US 2023-04-29 /pmc/articles/PMC10148582/ /pubmed/37363042 http://dx.doi.org/10.1007/s11224-023-02176-2 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research
Allal, Hamza
Nemdili, Hacene
Zerizer, Mohamed Amine
Zouchoune, Bachir
Molecular structures, chemical descriptors, and pancreatic lipase (1LPB) inhibition by natural products: a DFT investigation and molecular docking prediction
title Molecular structures, chemical descriptors, and pancreatic lipase (1LPB) inhibition by natural products: a DFT investigation and molecular docking prediction
title_full Molecular structures, chemical descriptors, and pancreatic lipase (1LPB) inhibition by natural products: a DFT investigation and molecular docking prediction
title_fullStr Molecular structures, chemical descriptors, and pancreatic lipase (1LPB) inhibition by natural products: a DFT investigation and molecular docking prediction
title_full_unstemmed Molecular structures, chemical descriptors, and pancreatic lipase (1LPB) inhibition by natural products: a DFT investigation and molecular docking prediction
title_short Molecular structures, chemical descriptors, and pancreatic lipase (1LPB) inhibition by natural products: a DFT investigation and molecular docking prediction
title_sort molecular structures, chemical descriptors, and pancreatic lipase (1lpb) inhibition by natural products: a dft investigation and molecular docking prediction
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148582/
https://www.ncbi.nlm.nih.gov/pubmed/37363042
http://dx.doi.org/10.1007/s11224-023-02176-2
work_keys_str_mv AT allalhamza molecularstructureschemicaldescriptorsandpancreaticlipase1lpbinhibitionbynaturalproductsadftinvestigationandmoleculardockingprediction
AT nemdilihacene molecularstructureschemicaldescriptorsandpancreaticlipase1lpbinhibitionbynaturalproductsadftinvestigationandmoleculardockingprediction
AT zerizermohamedamine molecularstructureschemicaldescriptorsandpancreaticlipase1lpbinhibitionbynaturalproductsadftinvestigationandmoleculardockingprediction
AT zouchounebachir molecularstructureschemicaldescriptorsandpancreaticlipase1lpbinhibitionbynaturalproductsadftinvestigationandmoleculardockingprediction