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Medicinal Chemistry

Editor-in-Chief

ISSN (Print): 1573-4064
ISSN (Online): 1875-6638

Research Article

Unveiling the ESR1 Conformational Stability and Screening Potent Inhibitors for Breast Cancer Treatment

Author(s): Khushboo Sharma, Umesh Panwar, Maddala Madhavi, Isha Joshi, Ishita Chopra, Lovely Soni, Arshiya Khan, Anushka Bhrdwaj, Abhyuday Singh Parihar, Vineeth Pazharathu Mohan, Leena Prajapati, Rashmi Sharma, Shweta Agrawal, Tajamul Hussain, Anuraj Nayarisseri* and Sanjeev Kumar Singh

Volume 20, Issue 3, 2024

Published on: 27 October, 2023

Page: [352 - 368] Pages: 17

DOI: 10.2174/0115734064256978231024062937

Price: $65

Open Access Journals Promotions 2
Abstract

Background: The current study recognizes the significance of estrogen receptor alpha (ERα) as a member of the nuclear receptor protein family, which holds a central role in the pathophysiology of breast cancer. ERα serves as a valuable prognostic marker, with its established relevance in predicting disease outcomes and treatment responses.

Methods: In this study, computational methods are utilized to search for suitable drug-like compounds that demonstrate analogous ligand binding kinetics to ERα.

Results: Docking-based simulation screened out the top 5 compounds - ZINC13377936, NCI35753, ZINC35465238, ZINC14726791, and NCI663569 against the targeted protein. Further, their dynamics studies reveal that the compounds ZINC13377936 and NCI35753 exhibit the highest binding stability and affinity.

Conclusion: Anticipating the competitive inhibition of ERα protein expression in breast cancer, we envision that both ZINC13377936 and NCI35753 compounds hold substantial promise as potential therapeutic agents. These candidates warrant thorough consideration for rigorous In vitro and In vivo evaluations within the context of clinical trials. The findings from this current investigation carry significant implications for the advancement of future diagnostic and therapeutic approaches for breast cancer.

Keywords: Cancer, ESR1, Erα, virtual screening, docking based simulation, binding affinity, R programming.

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