Topoisomerase inhibitors as anticancer agents: a patent update

Daulat B Khadka1, Won-Jea Cho

  • 1Chonnam National University, College of Pharmacy and Research Institute of Drug Development, Gwangju, Republic of Korea.

Abstract

Insights

Topoisomerase inhibitors are crucial antineoplastic agents targeting DNA topology. This review highlights patented inhibitors, including camptothecin analogs and novel compounds developed using structure-activity relationship studies and computational methods for cancer drug discovery.

Area of Science:

  • * Pharmacology
  • * Medicinal Chemistry
  • * Molecular Biology

Background:

  • * Topoisomerases (topos) are essential nuclear enzymes involved in DNA topology.
  • * Topo inhibitors are potent antineoplastic agents due to their role in vital cellular processes and cancer cell death.

Purpose of the Study:

  • * To review patents on topoisomerase I (topo I) and topoisomerase I and II (topo I/II) inhibitors.
  • * To focus on chemical entities developed through structure-activity relationship (SAR) studies and computational drug design.

Main Methods:

  • * Review of patents covering topo I, topo I/II inhibitors, including camptothecin (CPT) analogs, lamellarins, and synthetic pyridines.
  • * Examination of SAR studies on benzo[c]phenanthridine (nitidine) and protoberberine (coralyne) derivatives.
  • * Discussion of indenoisoquinolines and evodiamines discovered via COMPARE analysis and virtual screening (VS).

Main Results:

  • * Identification of diverse chemical scaffolds targeting topoisomerases, including natural products and synthetic compounds.
  • * Emphasis on systematic SAR studies for optimizing antineoplastic activity.
  • * Integration of computational approaches like VS and molecular modeling in drug discovery.

Conclusions:

  • * Computer-aided tools (VS, molecular modeling, docking) are vital for rational drug design and development of topoisomerase inhibitors.
  • * Understanding topo I/II-DNA-drug interactions through structural studies is key.
  • * Combined computational and screening methods will accelerate the discovery of novel anticancer drugs.

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