Exploring DNA topoisomerase I ligand space in search of novel anticancer agents

Malgorzata N Drwal1, Keli Agama, Laurence P G Wakelin

  • 1Department of Pharmacology, School of Medical Sciences, University of New South Wales, Sydney, Australia.

Plos One
|October 4, 2011
PubMed

Insights

Novel DNA topoisomerase I (Top1) inhibitors were identified using molecular modeling and database screening. This approach successfully found new Top1 inhibitors with potential as anticancer agents, warranting further investigation.

Area of Science:

  • Biochemistry
  • Medicinal Chemistry
  • Computational Biology

Background:

  • DNA topoisomerase I (Top1) is over-expressed in tumors and is a key target for cancer chemotherapy.
  • Top1 relieves DNA torsional strain by creating transient single-strand breaks, forming a covalent complex.
  • This Top1-DNA complex can be targeted by anticancer agents to inhibit enzyme activity.

Purpose of the Study:

  • To identify novel DNA topoisomerase I (Top1) inhibitors as potential anticancer agents.
  • To utilize structure- and ligand-based molecular modeling for drug discovery.
  • To screen large compound databases for Top1 inhibitory activity.

Main Methods:

  • Developed pharmacophore models based on camptothecin (CPT) derivatives.
  • Performed in silico screening of the National Cancer Institute (NCI) compound database.
  • Validated models by identifying known Top1 inhibitors and cytotoxic agents.
  • Used molecular docking to evaluate Top1 inhibition potential of screened compounds.
  • Conducted in vitro testing of selected compounds for Top1 inhibitory activity.

Main Results:

  • Identified a diverse set of novel Top1 inhibitor candidates through in silico screening.
  • The screening strategy successfully identified known Top1 inhibitors and cytotoxic compounds.
  • Docking analysis prioritized 10 compounds for biological testing.
  • Seven compounds were tested in vitro, with five showing mild to moderate Top1 inhibition.
  • An additional compound identified via similarity search also exhibited mild Top1 activity.

Conclusions:

  • The study successfully identified structurally novel Top1 inhibitors using a combined molecular modeling and screening approach.
  • These identified compounds represent promising leads for further investigation as potential anticancer therapeutics.
  • The validated computational strategy can be applied to discover new Top1 inhibitors for cancer treatment.

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