Exploring okra-derived compounds as prospective aromatase inhibitors: a computational study for enhanced breast

Dhrithi Jayasimha Mallur1, B Lavanya1, Sheshadri S Temkar1

  • 1Department of Biotechnology, Faculty of Biomedical Sciences and Technology, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai, India.

Insights

This study computationally screened okra compounds for Aromatase inhibition, identifying Quercetin 3-gentiobioside as a promising candidate for estrogen receptor-positive breast cancer treatment.

Area of Science:

  • Biochemistry and computational chemistry
  • Pharmacology and drug discovery

Background:

  • Estrogen receptor-positive breast cancer is common in postmenopausal women.
  • Aromatase inhibitors are a key therapy, but have side effects.
  • Novel inhibitors are needed to improve treatment outcomes.

Purpose of the Study:

  • To computationally screen okra (Abelmoschus esculentus) compounds for Aromatase inhibition.
  • To identify potential natural product-based Aromatase inhibitors for breast cancer therapy.

Main Methods:

  • Molecular docking (AMDock) and interaction analysis (Discovery Studio Visualizer).
  • Molecular dynamics simulations (GROMACS) for complex stability.
  • Pharmacokinetic property prediction (admetSAR).

Main Results:

  • Quercetin 3-gentiobioside showed strong binding affinity (-10 kcal/mol) and low Ki (46.77 nM) to Aromatase.
  • Molecular dynamics confirmed the stability of Quercetin 3-gentiobioside binding.
  • Quercetin 3-O-rutinoside and Hyperin also showed potential.

Conclusions:

  • Quercetin 3-gentiobioside is a promising natural compound for Aromatase inhibition.
  • Okra-derived compounds warrant further preclinical investigation for breast cancer treatment.
  • This study supports the use of computational methods in natural product drug discovery.