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Updated: May 28, 2026

Simple and Fast Rolling Circle Amplification-Based Detection of Topoisomerase 1 Activity in Crude Biological Samples
Published on: December 2, 2022
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.
Abstract:
DNA topoisomerase I (Top1) is over-expressed in tumour cells and is an important target in cancer chemotherapy. It relaxes DNA torsional strain generated during DNA processing by introducing transient single-strand breaks and allowing the broken strand to rotate around the intermediate Top1-DNA covalent complex. This complex can be trapped by a group of anticancer agents interacting with the DNA bases and the enzyme at the cleavage site, preventing further topoisomerase activity. Here we have identified novel Top1 inhibitors as potential anticancer agents by using a combination of structure- and ligand-based molecular modelling methods. Pharmacophore models have been developed based on the molecular characteristics of derivatives of the alkaloid camptothecin (CPT), which represent potent antitumour agents and the main group of Top1 inhibitors. The models generated were used for in silico screening of the National Cancer Institute (NCI, USA) compound database, leading to the identification of a set of structurally diverse molecules. The strategy is validated by the observation that amongst these molecules are several known Top1 inhibitors and agents cytotoxic against human tumour cell lines. The potential of the untested hits to inhibit Top1 activity was further evaluated by docking into the binding site of a Top1-DNA complex, resulting in a selection of 10 compounds for biological testing. Limited by the compound availability, 7 compounds have been tested in vitro for their Top1 inhibitory activity, 5 of which display mild to moderate Top1 inhibition. A further compound, found by similarity search to the active compounds, also shows mild activity. Although the tested compounds display only low in vitro antitumour activity, our approach has been successful in the identification of structurally novel Top1 inhibitors worthy of further investigation as potential anticancer agents.
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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