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Bioinformatic analysis of highly consumed phytochemicals as P-gp binders to overcome drug-resistance
BACKGROUND AND PURPOSE: P-glycoprotein (P-gp) is an adenosine triphosphate (ATP)-dependent membrane efflux pump for protecting cells against xenobiotic compounds. Unfortunately, overexpressed P-gp in neoplastic cells prevents cell entry of numerous chemotherapeutic agents leading to multidrug resist...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Medknow Publications & Media Pvt Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568960/ https://www.ncbi.nlm.nih.gov/pubmed/37842517 http://dx.doi.org/10.4103/1735-5362.383706 |
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author | Rajaei, Narges Rahgouy, Ghazaleh Panahi, Nasrin Razzaghi-Asl, Nima |
author_facet | Rajaei, Narges Rahgouy, Ghazaleh Panahi, Nasrin Razzaghi-Asl, Nima |
author_sort | Rajaei, Narges |
collection | PubMed |
description | BACKGROUND AND PURPOSE: P-glycoprotein (P-gp) is an adenosine triphosphate (ATP)-dependent membrane efflux pump for protecting cells against xenobiotic compounds. Unfortunately, overexpressed P-gp in neoplastic cells prevents cell entry of numerous chemotherapeutic agents leading to multidrug resistance (MDR). MDR cells may be re-sensitized to chemotherapeutic drugs via P-gp inhibition/modulation. Side effects of synthetic P-gp inhibitors encouraged the development of natural products. EXPERIMENTAL APPROACH: Molecular docking and density functional theory (DFT) calculations were used as fast and accurate computational methods to explore a structure binding relationship of some dietary phytochemicals inside distinctive P-gp binding sites (modulatory/inhibitory). For this purpose, top-scored docked conformations were subjected to per-residue energy decomposition analysis in the B3LYP level of theory with a 6-31g (d, p) basis set by Gaussian98 package. FINDINGS/RESULTS: Consecutive application of computational techniques revealed binding modes/affinities of nutritive phytochemicals within dominant binding sites of P-gp. Blind docking scores for best-ranked compounds were superior to verapamil and rhodamine-123. Pairwise amino acid decomposition of superior docked conformations revealed Tyr303 as an important P-gp binding residue. DFT-based induced polarization analysis revealed major electrostatic fluctuations at the atomistic level and confirmed larger effects for amino acids with energy-favored binding interactions. Conformational analysis exhibited that auraptene and 7,4',7'',4'''-tetra-O-methylamentoflavone might not necessarily interact to P-gp binding sites through minimum energy conformations. CONCLUSION AND IMPLICATIONS: Although there are still many hurdles to overcome, obtained results may propose a few nutritive phytochemicals as potential P-gp binding agents. Moreover; top-scored derivatives may have the chance to exhibit tumor chemo-sensitizing effects. |
format | Online Article Text |
id | pubmed-10568960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-105689602023-10-13 Bioinformatic analysis of highly consumed phytochemicals as P-gp binders to overcome drug-resistance Rajaei, Narges Rahgouy, Ghazaleh Panahi, Nasrin Razzaghi-Asl, Nima Res Pharm Sci Original Article BACKGROUND AND PURPOSE: P-glycoprotein (P-gp) is an adenosine triphosphate (ATP)-dependent membrane efflux pump for protecting cells against xenobiotic compounds. Unfortunately, overexpressed P-gp in neoplastic cells prevents cell entry of numerous chemotherapeutic agents leading to multidrug resistance (MDR). MDR cells may be re-sensitized to chemotherapeutic drugs via P-gp inhibition/modulation. Side effects of synthetic P-gp inhibitors encouraged the development of natural products. EXPERIMENTAL APPROACH: Molecular docking and density functional theory (DFT) calculations were used as fast and accurate computational methods to explore a structure binding relationship of some dietary phytochemicals inside distinctive P-gp binding sites (modulatory/inhibitory). For this purpose, top-scored docked conformations were subjected to per-residue energy decomposition analysis in the B3LYP level of theory with a 6-31g (d, p) basis set by Gaussian98 package. FINDINGS/RESULTS: Consecutive application of computational techniques revealed binding modes/affinities of nutritive phytochemicals within dominant binding sites of P-gp. Blind docking scores for best-ranked compounds were superior to verapamil and rhodamine-123. Pairwise amino acid decomposition of superior docked conformations revealed Tyr303 as an important P-gp binding residue. DFT-based induced polarization analysis revealed major electrostatic fluctuations at the atomistic level and confirmed larger effects for amino acids with energy-favored binding interactions. Conformational analysis exhibited that auraptene and 7,4',7'',4'''-tetra-O-methylamentoflavone might not necessarily interact to P-gp binding sites through minimum energy conformations. CONCLUSION AND IMPLICATIONS: Although there are still many hurdles to overcome, obtained results may propose a few nutritive phytochemicals as potential P-gp binding agents. Moreover; top-scored derivatives may have the chance to exhibit tumor chemo-sensitizing effects. Medknow Publications & Media Pvt Ltd 2023-08-20 /pmc/articles/PMC10568960/ /pubmed/37842517 http://dx.doi.org/10.4103/1735-5362.383706 Text en Copyright: © 2023 Research in Pharmaceutical Sciences https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Rajaei, Narges Rahgouy, Ghazaleh Panahi, Nasrin Razzaghi-Asl, Nima Bioinformatic analysis of highly consumed phytochemicals as P-gp binders to overcome drug-resistance |
title | Bioinformatic analysis of highly consumed phytochemicals as P-gp binders to overcome drug-resistance |
title_full | Bioinformatic analysis of highly consumed phytochemicals as P-gp binders to overcome drug-resistance |
title_fullStr | Bioinformatic analysis of highly consumed phytochemicals as P-gp binders to overcome drug-resistance |
title_full_unstemmed | Bioinformatic analysis of highly consumed phytochemicals as P-gp binders to overcome drug-resistance |
title_short | Bioinformatic analysis of highly consumed phytochemicals as P-gp binders to overcome drug-resistance |
title_sort | bioinformatic analysis of highly consumed phytochemicals as p-gp binders to overcome drug-resistance |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568960/ https://www.ncbi.nlm.nih.gov/pubmed/37842517 http://dx.doi.org/10.4103/1735-5362.383706 |
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