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Computational modelling of nanotube delivery of anti-cancer drug into glutathione reductase enzyme
Density functional theory method combined with docking and molecular dynamics simulations are used to understand the interaction of carmustine with human glutathione reductase enzyme. The active site of the enzyme is evaluated by docking simulation is used for molecular dynamics simulation to delive...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925602/ https://www.ncbi.nlm.nih.gov/pubmed/33654109 http://dx.doi.org/10.1038/s41598-021-84006-1 |
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author | Begum, Saheen Shehnaz Das, Dharitri Gour, Nand Kishor Deka, Ramesh Chandra |
author_facet | Begum, Saheen Shehnaz Das, Dharitri Gour, Nand Kishor Deka, Ramesh Chandra |
author_sort | Begum, Saheen Shehnaz |
collection | PubMed |
description | Density functional theory method combined with docking and molecular dynamics simulations are used to understand the interaction of carmustine with human glutathione reductase enzyme. The active site of the enzyme is evaluated by docking simulation is used for molecular dynamics simulation to deliver the carmustine molecule by (5,5) single walled carbon nanotube (SWCNT). Our model of carmustine in the active site of GR gives a negative binding energy that is further refined by QM/MM study in gas phase and solvent phase to confirm the stability of the drug molecule inside the active site. Once released from SWCNT, carmustine forms multiple polar and non-polar hydrogen bonding interactions with Tyr180, Phe209, Lys318, Ala319, Leu320, Leu321, Ile350, Thr352 and Val354 in the range of 2–4 Å. The SWCNT vehicle itself is held fix at its place due to multiple pi-pi stacking, pi-amide, pi-sigma interactions with the neighboring residues. These interactions in the range of 3–5 Å are crucial in holding the nanotube outside the drug binding region, hence, making an effective delivery. This study can be extended to envisage the potential applications of computational studies in the modification of known drugs to find newer targets and designing new and improved controlled drug delivery systems. |
format | Online Article Text |
id | pubmed-7925602 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79256022021-03-04 Computational modelling of nanotube delivery of anti-cancer drug into glutathione reductase enzyme Begum, Saheen Shehnaz Das, Dharitri Gour, Nand Kishor Deka, Ramesh Chandra Sci Rep Article Density functional theory method combined with docking and molecular dynamics simulations are used to understand the interaction of carmustine with human glutathione reductase enzyme. The active site of the enzyme is evaluated by docking simulation is used for molecular dynamics simulation to deliver the carmustine molecule by (5,5) single walled carbon nanotube (SWCNT). Our model of carmustine in the active site of GR gives a negative binding energy that is further refined by QM/MM study in gas phase and solvent phase to confirm the stability of the drug molecule inside the active site. Once released from SWCNT, carmustine forms multiple polar and non-polar hydrogen bonding interactions with Tyr180, Phe209, Lys318, Ala319, Leu320, Leu321, Ile350, Thr352 and Val354 in the range of 2–4 Å. The SWCNT vehicle itself is held fix at its place due to multiple pi-pi stacking, pi-amide, pi-sigma interactions with the neighboring residues. These interactions in the range of 3–5 Å are crucial in holding the nanotube outside the drug binding region, hence, making an effective delivery. This study can be extended to envisage the potential applications of computational studies in the modification of known drugs to find newer targets and designing new and improved controlled drug delivery systems. Nature Publishing Group UK 2021-03-02 /pmc/articles/PMC7925602/ /pubmed/33654109 http://dx.doi.org/10.1038/s41598-021-84006-1 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Begum, Saheen Shehnaz Das, Dharitri Gour, Nand Kishor Deka, Ramesh Chandra Computational modelling of nanotube delivery of anti-cancer drug into glutathione reductase enzyme |
title | Computational modelling of nanotube delivery of anti-cancer drug into glutathione reductase enzyme |
title_full | Computational modelling of nanotube delivery of anti-cancer drug into glutathione reductase enzyme |
title_fullStr | Computational modelling of nanotube delivery of anti-cancer drug into glutathione reductase enzyme |
title_full_unstemmed | Computational modelling of nanotube delivery of anti-cancer drug into glutathione reductase enzyme |
title_short | Computational modelling of nanotube delivery of anti-cancer drug into glutathione reductase enzyme |
title_sort | computational modelling of nanotube delivery of anti-cancer drug into glutathione reductase enzyme |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925602/ https://www.ncbi.nlm.nih.gov/pubmed/33654109 http://dx.doi.org/10.1038/s41598-021-84006-1 |
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