Pharmacophore-based virtual screening, molecular docking, and molecular dynamics investigation for the identification

Mohamed A Kotb1, Islam Ahmed Abdelmawgood2, Ibrahim M Ibrahim3

  • 11Department of Zoology, Faculty of Science, Cairo University, Giza, Egypt. mkotb@sci.cu.edu.eg.

BMC Chemistry
|November 27, 2024
PubMed

Insights

Marine natural products offer new hope for breast cancer treatment by targeting the human aromatase enzyme. CMPND 27987 shows significant potential as a stable and effective inhibitor, warranting further drug development.

Area of Science:

  • Biochemistry
  • Pharmacology
  • Marine Biotechnology

Background:

  • Breast cancer is a major global health concern, particularly for postmenopausal women.
  • Current aromatase inhibitors (AIs) show efficacy but are limited by drug resistance and side effects.
  • Marine natural products are a promising source for novel therapeutic agents due to their chemical diversity.

Purpose of the Study:

  • To identify novel marine natural products that inhibit the human aromatase enzyme.
  • To explore the potential of these compounds as therapeutic agents for breast cancer.

Main Methods:

  • Utilized ligand-based and structure-based pharmacophore modeling for virtual screening.
  • Screened over 31,000 compounds from the Comprehensive Marine Natural Products Database.
  • Performed molecular docking, molecular dynamics, and MM-GBSA calculations to assess binding affinity and stability.

Main Results:

  • Identified 1,385 potential marine natural product candidates from virtual screening.
  • Four compounds demonstrated strong binding affinity to aromatase, with CMPND 27987 showing the highest affinity (-10.1 kcal/mol).
  • CMPND 27987 exhibited the greatest stability at the aromatase active site, confirmed by molecular dynamics and MM-GBSA (-27.75 kcal/mol).

Conclusions:

  • CMPND 27987 effectively interacts with the human aromatase active site, demonstrating high affinity and stability.
  • This marine-derived compound shows significant potential for further development as a novel breast cancer therapeutic agent.
  • In silico findings support CMPND 27987 as a promising lead for drug optimization.