Dual or multi-targeting inhibitors: The next generation anticancer agents
Nulgumnalli Manjunathaiah Raghavendra1, Divya Pingili2, Sundeep Kadasi3
1Center for Technological Development in Health, National Institute of Science and Technology on Innovation on Neglected Diseases, Fiocruz, Rio de Janeiro, Brazil.
Dual-targeting drugs offer an efficient alternative to traditional cancer treatments by inhibiting multiple oncoproteins with a single molecule. This approach enhances efficacy and safety, overcoming resistance issues associated with single-target inhibitors.
Area of Science:
- Oncology
- Pharmacology
- Drug Discovery
Background:
- Standard cancer therapy involves combining inhibitors for specific single targets.
- Dual/multi-targeting agents, a single molecule acting on multiple targets, are emerging as a new therapeutic strategy.
- This approach addresses limitations of single-target therapies, including poor efficacy, safety profiles, and drug resistance.
Purpose of the Study:
- To review the discovery of dual-targeting agents for cancer therapy.
- To highlight the advantages of multi-targeting strategies over traditional combination therapies.
- To discuss rational, computational, and bioinformatics approaches in designing effective multi-target anticancer agents.
Main Methods:
- Review of recent literature on dual/multi-targeting agents in cancer therapy.
- Focus on rational drug design, computational methods, and bioinformatics tools.
- Exploration of polypharmacology and proteomic approaches for target identification and drug design.
Main Results:
- A growing body of research supports dual/multi-targeting as an efficient therapeutic strategy.
- Advances in bioinformatics and structural biology facilitate the design of multi-targeting molecules.
- Molecular docking and pharmacophore modeling are key techniques for discovering dual-targeting inhibitors.
Conclusions:
- Dual/multi-targeting agents represent a promising frontier in anticancer drug discovery.
- Rational design, aided by computational tools, is crucial for developing effective and safe multi-target drugs.
- This approach holds potential for overcoming challenges in current cancer treatment paradigms.
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