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Is Target-Based Drug Discovery Efficient? Discovery and "Off-Target" Mechanisms of All Drugs
Arash Sadri1,2,3
1Lyceum Scientific Charity, Tehran, Iran, 1415893697.
Journal of Medicinal Chemistry
|September 6, 2023
Summary
Target-based drug discovery is inefficient, with only 9.4% of approved drugs originating from this method. Prioritizing phenotypic observations with AI can enhance drug discovery efficiency.
Area of Science:
- Drug discovery and development
- Pharmacology
- Medicinal chemistry
Background:
- Target-based drug discovery is the predominant approach in pharmaceutical research.
- A comprehensive evaluation of its real-world efficiency and productivity is lacking.
- The productivity crisis in drug discovery necessitates a re-evaluation of current methodologies.
Purpose of the Study:
- To evaluate the real-world efficiency of target-based drug discovery.
- To analyze the origins of approved small-molecule drugs.
- To identify alternative strategies for enhancing drug discovery productivity.
Main Methods:
- A manual systematic review of approximately 32,000 articles and patents spanning 150 years.
- Analysis of the discovery origins for all approved drugs.
- Comparative analysis of target-based versus phenotypic drug discovery approaches.
Main Results:
- Only 9.4% of approved small-molecule drugs were discovered using target-based assays, despite decades of dominance.
- The therapeutic effects of target-based drugs often rely on uncharacterized off-target mechanisms observed phenotypically.
- Reductionist target-based approaches may contribute to the drug discovery productivity crisis.
Conclusions:
- The efficiency of target-based drug discovery is questionable, highlighting limitations of the reductionist approach.
- Phenotypic drug discovery, which considers holistic effects, offers a potentially more efficient strategy.
- Integrating artificial intelligence and machine learning with phenotypic observations can enhance molecule selection and optimization for improved drug discovery outcomes.
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