Abstract
Background: Targeting of multiple sites is a pharmacologically, pharmacokinetic and dynamically more acceptable approach for complex diseases such as BC. It is recommended that the women who are at high risk of developing BC might be given foods enhanced by indole alkaloids from vegetables like cabbage and broccoli. Administration of indole-3-carbinol is associated with decreased incidence of hormone-responsive BC (HRBC) which is implicated due to the induction of cytochrome P450 and glutathione-S-transferase which metabolizes chemical mutagens and by altering estrogen metabolism.
Objective: To determine the molecular mechanism behind the anticancer activity of natural indole alkaloids present in various food and nutraceuticals products by utilizing Induced-fit docking (IFD) approach.
Methods: Indole alkaloids were obtained from the database maintained by ChEBI (The database and ontology of Chemical Entities of Biological Interest) with ChEBI id 38958. The 3-dimentional and X-ray structure coordinates of Estrogen receptor- α (ER-α), Estrogen receptor- β (ER-β), and aromatase were obtained from protein data bank with PDB id codes 3ERT, 3OLS, and 3S7S (www.rcsb.org). The Induced fit molecular docking and ADME properties were calculated using Maestro 9.6.
Results: IFD analysis showed that bromocriptine exhibits maximum binding affinity towards ER-α and fellutanine B towards ER-β and aromatase.
Conclusion: Present research provided in-depth analysis of molecular mechanism and helped in the future design of new pharmacophores based on natural indole alkaloids targeting BC.
Keywords: Aromatase, breast cancer, ER-α, ER-β, indole alkaloids, induced-fit docking, pharmacologically.
Graphical Abstract
Current Computer-Aided Drug Design
Title:Multitargeted Molecular Docking Study of Natural-Derived Alkaloids on Breast Cancer Pathway Components
Volume: 13 Issue: 4
Author(s): Ramit Singla and Vikas Jaitak*
Affiliation:
- Centre for Pharmaceutical Sciences and Natural Products, School of Basic and Applied Sciences, Central University of Punjab, Bathinda 151 001,India
Keywords: Aromatase, breast cancer, ER-α, ER-β, indole alkaloids, induced-fit docking, pharmacologically.
Abstract: Background: Targeting of multiple sites is a pharmacologically, pharmacokinetic and dynamically more acceptable approach for complex diseases such as BC. It is recommended that the women who are at high risk of developing BC might be given foods enhanced by indole alkaloids from vegetables like cabbage and broccoli. Administration of indole-3-carbinol is associated with decreased incidence of hormone-responsive BC (HRBC) which is implicated due to the induction of cytochrome P450 and glutathione-S-transferase which metabolizes chemical mutagens and by altering estrogen metabolism.
Objective: To determine the molecular mechanism behind the anticancer activity of natural indole alkaloids present in various food and nutraceuticals products by utilizing Induced-fit docking (IFD) approach.
Methods: Indole alkaloids were obtained from the database maintained by ChEBI (The database and ontology of Chemical Entities of Biological Interest) with ChEBI id 38958. The 3-dimentional and X-ray structure coordinates of Estrogen receptor- α (ER-α), Estrogen receptor- β (ER-β), and aromatase were obtained from protein data bank with PDB id codes 3ERT, 3OLS, and 3S7S (www.rcsb.org). The Induced fit molecular docking and ADME properties were calculated using Maestro 9.6.
Results: IFD analysis showed that bromocriptine exhibits maximum binding affinity towards ER-α and fellutanine B towards ER-β and aromatase.
Conclusion: Present research provided in-depth analysis of molecular mechanism and helped in the future design of new pharmacophores based on natural indole alkaloids targeting BC.
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Cite this article as:
Singla Ramit and Jaitak Vikas *, Multitargeted Molecular Docking Study of Natural-Derived Alkaloids on Breast Cancer Pathway Components, Current Computer-Aided Drug Design 2017; 13 (4) . https://dx.doi.org/10.2174/1573409913666170406144642
DOI https://dx.doi.org/10.2174/1573409913666170406144642 |
Print ISSN 1573-4099 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6697 |

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