Molecular docking based screening of novel designed chalcone series of compounds for their anti-cancer activity

Chennu Maruthi Malya Prasada Rao1, Rajendra Prasad Yejella2, Rehman Shaik Abdul Rehman3

  • 1Research Scholar, Department of Pharmaceutical Sciences, JNTUK, Kakinada-533003, Andhra Pradesh, India.

Bioinformation
|September 5, 2015
PubMed

Insights

Researchers designed novel chalcone compounds as potential anti-cancer drugs targeting the epidermal growth factor receptor (EGFR). Compound 21 showed the most promise, demonstrating significant binding affinity and potential for further development.

Area of Science:

  • Medicinal Chemistry
  • Computational Drug Design
  • Oncology

Background:

  • Epidermal growth factor receptor (EGFR) is crucial for tumor growth and overexpressed in many epithelial cancers.
  • Targeting EGFR is a key strategy in anti-cancer therapy.
  • Chalcone derivatives are known for their anti-cancer properties, prompting exploration of novel derivatives.

Purpose of the Study:

  • To design and computationally evaluate a novel series of chalcone compounds as potential EGFR inhibitors.
  • To identify lead compounds with high binding affinity and favorable drug-like properties for cancer treatment.

Main Methods:

  • Design of a library of 25 novel chalcone compounds.
  • Molecular docking simulations to assess binding to the EGFR kinase domain.
  • 2D Quantitative Structure-Activity Relationship (2DQSAR) analysis for ADME properties and Lipinski's rule compliance.

Main Results:

  • All 25 designed chalcone compounds successfully docked into the EGFR active site, with binding energies ranging from -6.10 to -9.25 Kcal/mol.
  • Predicted IC50 values ranged from 33.50 µM to 164.66 nM.
  • Compound 21 exhibited the highest binding energy (-9.25 Kcal/mol) and a low predicted IC50 (164.66 nM), alongside favorable ADME properties compliant with Lipinski's rule.

Conclusions:

  • Novel chalcone derivatives show significant potential as targeted anti-cancer agents against EGFR.
  • Compound 21 is identified as a promising lead molecule for further preclinical evaluation and development.
  • Computational approaches are effective in discovering novel EGFR inhibitors with favorable drug-like characteristics.