In silico identification of potent small molecule inhibitors targeting epidermal growth factor receptor 1

Zheng Shi1, Jie Chen2, Xiaolan Guo1

  • 1School of Medicine, Sichuan Industrial Institute of Antibiotics, Chengdu University, Chengdu, China.

Abstract

Insights

This study identified Benzonatate (ZINC03830276) as a potential new EGFR inhibitor using bioinformatics. This drug repositioning approach accelerates the discovery of novel cancer therapeutics targeting the epidermal growth factor receptor.

Area of Science:

  • Oncology
  • Pharmacology
  • Computational Biology

Background:

  • Epidermal growth factor receptor (EGFR) is crucial in cell signaling and implicated in various cancers.
  • EGFR is a well-established therapeutic target for cancer treatment.
  • Drug repositioning offers an efficient strategy for developing new drug candidates.

Purpose of the Study:

  • To identify novel FDA-approved drugs with potential EGFR inhibitory activity.
  • To explore the utility of drug repositioning for discovering new cancer therapies.

Main Methods:

  • Utilized virtual screening and molecular dynamics (MD) simulations on 1408 FDA-approved small molecule drugs.
  • Performed docking scores and 5 ns MD simulations to evaluate drug candidates.

Main Results:

  • Identified five small molecules for further MD simulations based on docking scores.
  • Benzonatate (ZINC03830276) was identified as a potential EGFR inhibitor through MD simulations.

Conclusions:

  • Benzonatate (ZINC03830276) shows promise as a novel EGFR inhibitor.
  • This finding provides a new avenue for developing more effective EGFR-targeting cancer drugs.

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