Identification of novel selective antagonists for cyclin C by homology modeling and virtual screening

P Sarita Rajender1, M Vasavi, Uma Vuruputuri

  • 1Department of Chemistry, Nizam College, Basheerbagh, Hyderabad 500001, Andhra Pradesh, India.

Insights

Researchers identified potential new anti-cancer drugs by modeling cyclin C, a key cell cycle protein. Virtual screening of compounds revealed promising inhibitors for further development against cancer.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Drug Discovery

Background:

  • Cancer presents a global challenge due to multidrug resistance, necessitating novel therapeutic agents.
  • The CDK8/cyclin C pathway is crucial in regulating cell cycle progression (G0/G1/S phases).
  • Cyclin C is recognized as a promising molecular target for anti-cancer drug development.

Purpose of the Study:

  • To investigate the ligand binding mechanisms and interactions with cyclin C.
  • To identify potential inhibitors of cyclin C through virtual screening.
  • To discover novel lead molecules for anti-cancer drug development.

Main Methods:

  • Generation of a 3D homology model for cyclin C.
  • Analysis of the cyclin C binding groove for potential inhibitor interactions.
  • Virtual screening of the ChemBank library for candidate molecules.
  • Prioritization based on docking scores and ADMET properties.

Main Results:

  • A 3D model of cyclin C was successfully generated, enabling binding site analysis.
  • Virtual screening identified several molecules with potential to inhibit cyclin C.
  • Selected compounds exhibited favorable docking scores and predicted ADMET properties.

Conclusions:

  • Cyclin C is a viable anti-cancer target.
  • Virtual screening and computational modeling are effective in identifying potential cyclin C inhibitors.
  • Prioritized lead molecules warrant further investigation as novel anti-cancer therapeutics.

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