Is Combinatorial Chemistry Effective for Drug Discovery?
Author Information
Author(s): Richard A. Wildonger, Tracy L. Deegan, John W. Lee
Primary Institution: AstraZeneca R&D Boston
Hypothesis
Is combinatorial chemistry on the right track for drug discovery?
Conclusion
Automation in drug synthesis can improve efficiency and reduce costs, but its effectiveness in drug discovery remains uncertain.
Supporting Evidence
- Automation can increase drug candidate synthesis throughput.
- High throughput synthesis has made synthetic medicinal chemists more efficient.
- Many commercially available synthesis platforms lack the flexibility needed for effective drug discovery.
Takeaway
This study looks at how using machines to help make drugs can save time and money, but it's not clear if it actually helps find new medicines.
Methodology
The study discusses the implementation of automation in drug synthesis and its impact on efficiency and cost.
Potential Biases
Dependence on new technologies may lead to discomfort among medicinal chemists and potential misjudgment of tool adequacy.
Limitations
The effectiveness of combinatorial chemistry tools in drug discovery is not clearly established.
Digital Object Identifier (DOI)
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