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.

Steroids
|January 9, 2018
PubMed

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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