Novel DNA topoisomerase IIα inhibitors from combined ligand- and structure-based virtual screening

Malgorzata N Drwal1, Jessica Marinello2, Stefano G Manzo2

  • 1Department of Pharmacology, School of Medical Sciences, UNSW Australia, Sydney, NSW, Australia.

Plos One
|December 10, 2014
PubMed

Insights

This study used computer-aided drug design to find new cancer drugs targeting topoisomerase II alpha. The novel compounds selectively inhibit the alpha isoform, showing promise for reduced side effects and improved cancer treatment.

Area of Science:

  • Biochemistry
  • Pharmacology
  • Computational Chemistry

Background:

  • DNA topoisomerases are crucial enzymes for DNA replication and are significant cancer drug targets.
  • Topoisomerase II poisons are used clinically but cause side effects due to inhibiting both alpha and beta isoforms.
  • Selective inhibition of topoisomerase II alpha is key to developing safer and more effective cancer therapies.

Purpose of the Study:

  • To identify novel topoisomerase II alpha selective poisons using computer-aided drug design.
  • To develop topoisomerase II poisons with improved clinical profiles and reduced adverse effects.
  • To validate computational methods for discovering new anti-cancer agents.

Main Methods:

  • Employed a combination of ligand- and structure-based drug design techniques.
  • Utilized pharmacophore modeling, homology modeling, and molecular docking.
  • Performed virtual screening of the National Cancer Institute compound database.

Main Results:

  • Identified 8 novel compounds with potential topoisomerase II poisoning activity.
  • 4 out of 6 tested compounds demonstrated selective inhibition of topoisomerase II alpha over beta.
  • 3 of the selective inhibitors exhibited significant cytotoxic activity.

Conclusions:

  • Computer-aided drug design is effective for discovering novel topoisomerase II poisons.
  • The identified compounds are promising candidates for further investigation as selective topoisomerase II alpha inhibitors.
  • This approach offers a strategy for developing cancer drugs with enhanced efficacy and safety profiles.