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Structure Based Multitargeted Molecular Docking Analysis of Selected Furanocoumarins against Breast Cancer

Breast cancer is one of the biggest global dilemmas and its current therapy is to target the hormone receptors by the use of partial agonists/antagonists. Potent drugs for breast cancer treatment are Tamoxifen, Trastuzumab, Paclitaxel, etc. which show adverse effects and resistance in patients. The...

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Autores principales: Acharya, Reetuparna, Chacko, Shinu, Bose, Pritha, Lapenna, Antonio, Pattanayak, Shakti Prasad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823401/
https://www.ncbi.nlm.nih.gov/pubmed/31673107
http://dx.doi.org/10.1038/s41598-019-52162-0
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author Acharya, Reetuparna
Chacko, Shinu
Bose, Pritha
Lapenna, Antonio
Pattanayak, Shakti Prasad
author_facet Acharya, Reetuparna
Chacko, Shinu
Bose, Pritha
Lapenna, Antonio
Pattanayak, Shakti Prasad
author_sort Acharya, Reetuparna
collection PubMed
description Breast cancer is one of the biggest global dilemmas and its current therapy is to target the hormone receptors by the use of partial agonists/antagonists. Potent drugs for breast cancer treatment are Tamoxifen, Trastuzumab, Paclitaxel, etc. which show adverse effects and resistance in patients. The aim of the study has been on certain phytochemicals which has potent actions on ERα, PR, EGFR and mTOR inhibition. The current study is performed by the use of molecular docking as protein-ligand interactions play a vital role in drug design. The 3D structures of ERα, PR, EGFR and mTOR were obtained from the protein data bank and docked with 23 3D PubChem structures of furanocoumarin compounds using FlexX. Drug-likeness property was checked by applying the Lipinski’s rule of five on the furanocoumarins to evaluate anti-breast cancer activity. Antagonist and inhibition assay of ERα, EGFR and mTOR respectively has been performed using appropriate in-vitro techniques. The results confirm that Xanthotoxol has the best docking score for breast cancer followed by Bergapten, Angelicin, Psoralen and Isoimperatorin. Further, the in-vitro results also validate the molecular docking analysis. This study suggests that the selected furanocoumarins can be further investigated and evaluated for breast cancer treatment and management strategies.
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spelling pubmed-68234012019-11-12 Structure Based Multitargeted Molecular Docking Analysis of Selected Furanocoumarins against Breast Cancer Acharya, Reetuparna Chacko, Shinu Bose, Pritha Lapenna, Antonio Pattanayak, Shakti Prasad Sci Rep Article Breast cancer is one of the biggest global dilemmas and its current therapy is to target the hormone receptors by the use of partial agonists/antagonists. Potent drugs for breast cancer treatment are Tamoxifen, Trastuzumab, Paclitaxel, etc. which show adverse effects and resistance in patients. The aim of the study has been on certain phytochemicals which has potent actions on ERα, PR, EGFR and mTOR inhibition. The current study is performed by the use of molecular docking as protein-ligand interactions play a vital role in drug design. The 3D structures of ERα, PR, EGFR and mTOR were obtained from the protein data bank and docked with 23 3D PubChem structures of furanocoumarin compounds using FlexX. Drug-likeness property was checked by applying the Lipinski’s rule of five on the furanocoumarins to evaluate anti-breast cancer activity. Antagonist and inhibition assay of ERα, EGFR and mTOR respectively has been performed using appropriate in-vitro techniques. The results confirm that Xanthotoxol has the best docking score for breast cancer followed by Bergapten, Angelicin, Psoralen and Isoimperatorin. Further, the in-vitro results also validate the molecular docking analysis. This study suggests that the selected furanocoumarins can be further investigated and evaluated for breast cancer treatment and management strategies. Nature Publishing Group UK 2019-10-31 /pmc/articles/PMC6823401/ /pubmed/31673107 http://dx.doi.org/10.1038/s41598-019-52162-0 Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Acharya, Reetuparna
Chacko, Shinu
Bose, Pritha
Lapenna, Antonio
Pattanayak, Shakti Prasad
Structure Based Multitargeted Molecular Docking Analysis of Selected Furanocoumarins against Breast Cancer
title Structure Based Multitargeted Molecular Docking Analysis of Selected Furanocoumarins against Breast Cancer
title_full Structure Based Multitargeted Molecular Docking Analysis of Selected Furanocoumarins against Breast Cancer
title_fullStr Structure Based Multitargeted Molecular Docking Analysis of Selected Furanocoumarins against Breast Cancer
title_full_unstemmed Structure Based Multitargeted Molecular Docking Analysis of Selected Furanocoumarins against Breast Cancer
title_short Structure Based Multitargeted Molecular Docking Analysis of Selected Furanocoumarins against Breast Cancer
title_sort structure based multitargeted molecular docking analysis of selected furanocoumarins against breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823401/
https://www.ncbi.nlm.nih.gov/pubmed/31673107
http://dx.doi.org/10.1038/s41598-019-52162-0
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