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Updated: Feb 16, 2026

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
Published on: March 20, 2020
Development of leads targeting ER-α in breast cancer: An in silico exploration from natural domain
Snehal S Ashtekar1, Neela M Bhatia1, Manish S Bhatia2
1Department of Quality Assurance, Bharati Vidyapeeth College of Pharmacy, Kolhapur 416013, Maharashtra, India.
Abstract:
The steroid, estrogen has been recognized as being important for stimulating the growth of breast cancers primarily mediated via the steroidal estrogen receptor-α (ER-α). Inhibition of estrogen activity by small molecules with increased target specificity has proven to be an effective treatment for breast cancer. After the success stories of SERMs and fulvestrant, there is a need for the development of new small molecule modulating ER-α is due to developing resistance and side effects to current breast cancer therapy. In this pursuit, we virtually screened 227 chemically diverse bioactive natural products to get the best hits having an ER-α binding affinity. The docking scores and protein-ligand interactions of the obtained hits were emulated with the clinically used selective estrogen modulators and ER-antagonists. The results revealed 18 potential hits, which were putatively classified as hits belonging to ER agonists, modulators, and antagonists. Furthermore, as most of the hits were found to comprise the chromene nucleus, the 2D and 3D QSAR studies were performed using a set of natural products and synthesized compounds containing this scaffold, to understand the structural requirements for improving activity against breast cancer. Additionally, a pharmacophore model was generated to investigate the pharmacophoric features of the explored scaffolds for an optimal anticancer activity. The results signify that these compounds with structural modification could serve as potential leads in the drug discovery process for the treatment of breast cancer.
Insights
Researchers screened natural products to find new ways to block estrogen receptor-alpha (ER-α) for breast cancer treatment. This study identified potential new drug leads by analyzing their binding affinity and structural features.
Area of Science:
- Biochemistry
- Medicinal Chemistry
- Pharmacology
Background:
- Estrogen receptor-alpha (ER-α) is crucial for breast cancer growth.
- Current therapies like SERMs and fulvestrant face challenges due to resistance and side effects.
- There is a need for novel small molecules to modulate ER-α activity.
Purpose of the Study:
- To identify novel small molecules from natural products with ER-α binding affinity.
- To understand the structural requirements for ER-α modulators.
- To discover potential lead compounds for breast cancer drug discovery.
Main Methods:
- Virtual screening of 227 diverse bioactive natural products against ER-α.
- Docking studies and analysis of protein-ligand interactions.
- 2D and 3D Quantitative Structure-Activity Relationship (QSAR) studies.
- Pharmacophore modeling.
Main Results:
- Identified 18 potential hits with ER-α binding affinity, classified as agonists, modulators, or antagonists.
- Highlighted the chromene nucleus as a common scaffold among active compounds.
- QSAR and pharmacophore models elucidated key structural features for ER-α modulation.
Conclusions:
- The identified natural products and their derivatives show promise as lead compounds for breast cancer therapy.
- Structural modifications based on QSAR and pharmacophore insights can optimize anticancer activity.
- This study provides a foundation for developing new ER-α targeted breast cancer treatments.
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