Managing laboratory automation: integration and informatics in drug discovery
2000
Managing Laboratory Automation in Drug Discovery
publication
Evidence: moderate
Author Information
Author(s): Charles J. Manly
Primary Institution: Neurogen Corporation
Hypothesis
How can laboratory automation and informatics be effectively integrated to enhance drug discovery processes?
Conclusion
The AIDDSM system significantly improves the efficiency and effectiveness of drug discovery by integrating various methodologies.
Supporting Evidence
- AIDDSM can synthesize 400,000 samples per year and generate biological data for 300,000 samples monthly.
- The system allows for the completion of the drug discovery cycle on thousands of compounds every two weeks.
- AIDDSM has been applied to over 15 diverse programs, resulting in novel leads with significant activity.
Takeaway
This study shows how using smart technology can help scientists find new medicines faster and better by organizing their work.
Methodology
The study describes the AIDDSM system, which integrates combinatorial chemistry, high-throughput pharmacology, and computational chemistry to streamline drug discovery.
Want to read the original?
Access the complete publication on the publisher's website