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https://doi.org/10.1038/s41598...
Article . 2019 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://www.nature.com/article...
Article
License: CC BY
Data sources: UnpayWall
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PubMed Central
Other literature type . 2019
Data sources: PubMed Central
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Structure Based Multitargeted Molecular Docking Analysis of Selected Furanocoumarins against Breast Cancer

Authors: Pritha Bose; Antonio Lapenna; Shinu Chacko; Shakti Prasad Pattanayak; Reetuparna Acharya;

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

Abstract

AbstractBreast 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 appropriatein-vitrotechniques. The results confirm that Xanthotoxol has the best docking score for breast cancer followed by Bergapten, Angelicin, Psoralen and Isoimperatorin. Further, thein-vitroresults 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.

Keywords

Binding Sites, TOR Serine-Threonine Kinases, Estrogen Receptor alpha, Breast Neoplasms, Ligands, Article, ErbB Receptors, Molecular Docking Simulation, Catalytic Domain, Drug Design, Furocoumarins, MCF-7 Cells, Humans, Female

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
133
Top 1%
Top 10%
Top 1%
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gold