Rationally designed multitarget anticancer agents

Zhuo Chen1, Le Han, Minghao Xu

  • 1State Key Laboratory of Bioreactor Engineering, Shanghai Key Laboratory of Chemical Biology, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China.

Current Medicinal Chemistry
|February 16, 2013
PubMed

Insights

Multitarget antitumor agents offer advantages over drug combinations for treating complex cancers. This review focuses on pharmacophore-based designs, highlighting their effectiveness against drug-resistant cancer cells.

Area of Science:

  • Medicinal Chemistry
  • Pharmacology
  • Oncology

Background:

  • Complex diseases like cancer often require targeting multiple pathways.
  • Single molecules modulating multiple targets offer pharmacokinetic and pharmacodynamic advantages over drug combinations.
  • Increasing drug resistance in cancer necessitates novel therapeutic strategies.

Purpose of the Study:

  • To provide an overview of multitarget antitumor agents based on pharmacophore design.
  • To highlight the design strategies for these agents, including pharmacophore combination and high-throughput screening.
  • To emphasize the importance of validating these agents against multiple targets in various systems.

Main Methods:

  • Review of reported multitarget antitumor agents.
  • Analysis of agent design strategies focusing on pharmacophores.
  • Examination of validation studies in cell-free systems, cancer cells, and resistant cell lines.

Main Results:

  • Identified privileged pharmacophores like quinazoline, phenylaminopyrimidine, anthracycline, and naphthalimide in multitarget agent design.
  • Demonstrated the effectiveness of these agents in both cell-free and cellular assays.
  • Confirmed the potency of multitarget compounds against drug-resistant cancer cell lines.

Conclusions:

  • Pharmacophore-based design is a viable strategy for developing multitarget antitumor agents.
  • In-depth validation across multiple targets and models is crucial for assessing efficacy.
  • Multitarget agents show significant promise in overcoming cancer drug resistance.

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