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Automation in medicinal chemistry.

John C Reader¹

¹Millennium Pharmaceutical Research and Development Ltd, Granta Park, Great Abington, Cambridge, United Kingdom. john.reader@mpi.com

Current Topics in Medicinal Chemistry

|March 23, 2004

Summary

Implementing automation in drug discovery significantly boosts productivity across all stages. This evolution from early combinatorial chemistry enhances synthesis, optimization, and purification for better drug development.

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Area of Science:

Medicinal Chemistry
Process Chemistry
Drug Discovery Automation

Background:

Early automation in drug discovery focused on hit discovery using combinatorial chemistry and solid-phase techniques.
Automated chemistry has evolved significantly beyond initial combinatorial approaches.

Purpose of the Study:

To discuss the implementation of advanced automation techniques in drug discovery.
To highlight the impact of automation on various stages of the drug development pipeline.

Main Methods:

Review of automated tools and strategies for synthesis, reaction optimization, work-up, and purification.
Case study based on experiences at Millennium Pharmaceuticals.

Main Results:

Automation improves productivity in hit discovery, hit expansion, and lead optimization.
Modern automated strategies impact multiple aspects of compound preparation and analysis.

Conclusions:

Appropriate automation, integrated into efficient processes, is key to improving drug discovery productivity.
Automated chemistry offers broad applicability across the drug development lifecycle.

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