Computational analysis of bevacizumab binding with protein receptors for its potential anticancer activity

Nada Alsakhen1, Enas S Radwan2, Imran Zafer3

  • 1Department of Chemistry, Faculty of Science, The Hashemite University, Zarqa, Jordan.

Insights

This study explored bevacizumab

Area of Science:

  • Oncology
  • Molecular Biology
  • Computational Chemistry

Background:

  • Breast cancer is a major global health concern.
  • Novel therapeutic strategies are crucial for effective treatment.
  • Bevacizumab targets angiogenesis by inhibiting vascular endothelial growth factor (VEGF).

Purpose of the Study:

  • To investigate the binding free energy (ΔG) of bevacizumab with proto-oncogenes.
  • To elucidate the molecular interactions and stability of bevacizumab complexes.
  • To assess the potential of bevacizumab as an anticancer therapeutic.

Main Methods:

  • In-silico molecular docking simulations.
  • Calculation of binding free energies (ΔG).
  • 100 ns Molecular Dynamics (MD) simulations.

Main Results:

  • Hydrogen bonding was identified as key for conformational changes and impeding DNA replication.
  • Bevacizumab formed stable complexes with proto-oncogenes (CDK4, EGFR, Frizzled, IGFR, KIT, MYC).
  • MD simulations confirmed the stability of bevacizumab complexes.

Conclusions:

  • Bevacizumab complex shows promise as an anticancer treatment.
  • Binding interactions and stability insights were gained.
  • Findings support further research for bevacizumab in breast cancer therapy.

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