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In silico Analysis for Predicting Fatty Acids of Black Cumin Oil as Inhibitors of P-Glycoprotein
BACKGROUND: Black cumin oil is obtained from the seeds of Nigella sativa L. which belongs to family Ranunculaceae. The seed oil has been reported to possess antitumor, antioxidant, antibacterial, anti-inflammatory, hypoglycemic, central nervous system depressant, antioxidant, and immunostimulatory a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Medknow Publications & Media Pvt Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4787096/ https://www.ncbi.nlm.nih.gov/pubmed/27013802 http://dx.doi.org/10.4103/0973-1296.172969 |
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author | Ali, Babar Jamal, Qazi Mohd. Sajid Mir, Showkat R. Shams, Saiba Al-Wabel, Naser A. Kamal, Mohammad A. |
author_facet | Ali, Babar Jamal, Qazi Mohd. Sajid Mir, Showkat R. Shams, Saiba Al-Wabel, Naser A. Kamal, Mohammad A. |
author_sort | Ali, Babar |
collection | PubMed |
description | BACKGROUND: Black cumin oil is obtained from the seeds of Nigella sativa L. which belongs to family Ranunculaceae. The seed oil has been reported to possess antitumor, antioxidant, antibacterial, anti-inflammatory, hypoglycemic, central nervous system depressant, antioxidant, and immunostimulatory activities. These bioactivities have been attributed to the fixed oil, volatile oil, or their components. Seed oil consisted of 15 saturated fatty acids (17%) and 17 unsaturated fatty acids (82.9%). Long chain fatty acids and medium chain fatty acids have been reported to increase oral bioavailability of peptides, antibiotics, and other important therapeutic agents. In earlier studies, permeation enhancement and bioenhancement of drugs has been done with black cumin oil. OBJECTIVE: In order to recognize the mechanism of binding of fatty acids to P-glycoprotein (P-gp), linoleic acid, oleic acid, margaric acid, cis-11, 14-eicosadienoic acid, and stearic acid were selected for in silico studies, which were carried out using AutoDock 4.2, based on the Lamarckian genetic algorithm principle. MATERIALS AND METHODS: Template search with BLAST and HHblits has been performed against the SWISS-MODEL template library. The target sequence was searched with BLAST against the primary amino acid sequence of P-gp from Rattus norvegicus. RESULTS: The amount of energy needed by linoleic acid, oleic acid, eicosadienoic acid, margaric acid, and stearic acid to bind with P-gp were found to be − 10.60, −10.48, −9.95, −11.92, and − 10.37 kcal/mol, respectively. The obtained data support that all the selected fatty acids have contributed to inhibit P-gp activity thereby enhances the bioavailability of drugs. CONCLUSION: This study plays a significant role in finding hot spots in P-gp and may offer the further scope of designing potent and specific inhibitors of P-gp. SUMMARY: Generation of 3D structure of fatty acid compounds from Black cumin oil and 3D homology modeling of Rat P glycoprotein as a receptor. Rat P-gp structure quality shows 88.5% residues in favored region obtained by Ramchandran plot analysis. Docking analysis revealed that Some amino acids common for all compounds like Ser221, Pro222, Ile224, Gly225, Ser228, Ala229, Lys233, Tyr302, Tyr309, Ile337, Leu338 and Thr341 in the P-gp and ligands binding patterns. Eicosadeinoic acid has highest binding affinity with P-gp as the amount of energy needed to bind with P-gp was lowest (-11.92 kcal/mol). [Image: see text] Abbreviations used: P-gp: P-glycoprotein |
format | Online Article Text |
id | pubmed-4787096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-47870962016-03-24 In silico Analysis for Predicting Fatty Acids of Black Cumin Oil as Inhibitors of P-Glycoprotein Ali, Babar Jamal, Qazi Mohd. Sajid Mir, Showkat R. Shams, Saiba Al-Wabel, Naser A. Kamal, Mohammad A. Pharmacogn Mag Original Article BACKGROUND: Black cumin oil is obtained from the seeds of Nigella sativa L. which belongs to family Ranunculaceae. The seed oil has been reported to possess antitumor, antioxidant, antibacterial, anti-inflammatory, hypoglycemic, central nervous system depressant, antioxidant, and immunostimulatory activities. These bioactivities have been attributed to the fixed oil, volatile oil, or their components. Seed oil consisted of 15 saturated fatty acids (17%) and 17 unsaturated fatty acids (82.9%). Long chain fatty acids and medium chain fatty acids have been reported to increase oral bioavailability of peptides, antibiotics, and other important therapeutic agents. In earlier studies, permeation enhancement and bioenhancement of drugs has been done with black cumin oil. OBJECTIVE: In order to recognize the mechanism of binding of fatty acids to P-glycoprotein (P-gp), linoleic acid, oleic acid, margaric acid, cis-11, 14-eicosadienoic acid, and stearic acid were selected for in silico studies, which were carried out using AutoDock 4.2, based on the Lamarckian genetic algorithm principle. MATERIALS AND METHODS: Template search with BLAST and HHblits has been performed against the SWISS-MODEL template library. The target sequence was searched with BLAST against the primary amino acid sequence of P-gp from Rattus norvegicus. RESULTS: The amount of energy needed by linoleic acid, oleic acid, eicosadienoic acid, margaric acid, and stearic acid to bind with P-gp were found to be − 10.60, −10.48, −9.95, −11.92, and − 10.37 kcal/mol, respectively. The obtained data support that all the selected fatty acids have contributed to inhibit P-gp activity thereby enhances the bioavailability of drugs. CONCLUSION: This study plays a significant role in finding hot spots in P-gp and may offer the further scope of designing potent and specific inhibitors of P-gp. SUMMARY: Generation of 3D structure of fatty acid compounds from Black cumin oil and 3D homology modeling of Rat P glycoprotein as a receptor. Rat P-gp structure quality shows 88.5% residues in favored region obtained by Ramchandran plot analysis. Docking analysis revealed that Some amino acids common for all compounds like Ser221, Pro222, Ile224, Gly225, Ser228, Ala229, Lys233, Tyr302, Tyr309, Ile337, Leu338 and Thr341 in the P-gp and ligands binding patterns. Eicosadeinoic acid has highest binding affinity with P-gp as the amount of energy needed to bind with P-gp was lowest (-11.92 kcal/mol). [Image: see text] Abbreviations used: P-gp: P-glycoprotein Medknow Publications & Media Pvt Ltd 2015-10 /pmc/articles/PMC4787096/ /pubmed/27013802 http://dx.doi.org/10.4103/0973-1296.172969 Text en Copyright: © 2015 Pharmacognosy Magazine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Ali, Babar Jamal, Qazi Mohd. Sajid Mir, Showkat R. Shams, Saiba Al-Wabel, Naser A. Kamal, Mohammad A. In silico Analysis for Predicting Fatty Acids of Black Cumin Oil as Inhibitors of P-Glycoprotein |
title | In silico Analysis for Predicting Fatty Acids of Black Cumin Oil as Inhibitors of P-Glycoprotein |
title_full | In silico Analysis for Predicting Fatty Acids of Black Cumin Oil as Inhibitors of P-Glycoprotein |
title_fullStr | In silico Analysis for Predicting Fatty Acids of Black Cumin Oil as Inhibitors of P-Glycoprotein |
title_full_unstemmed | In silico Analysis for Predicting Fatty Acids of Black Cumin Oil as Inhibitors of P-Glycoprotein |
title_short | In silico Analysis for Predicting Fatty Acids of Black Cumin Oil as Inhibitors of P-Glycoprotein |
title_sort | in silico analysis for predicting fatty acids of black cumin oil as inhibitors of p-glycoprotein |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4787096/ https://www.ncbi.nlm.nih.gov/pubmed/27013802 http://dx.doi.org/10.4103/0973-1296.172969 |
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