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The development cycle of a pharmaceutical discovery chemi-informatics system
1Pharma Discovery IT, Searle, a Division of Monsanto Company, Skokie, IL, USA.
Medicinal Research Reviews
|May 8, 1999
Summary
The pharmaceutical discovery process generates vast data, overwhelming current evaluation capabilities. This review discusses a cheminformatics system to manage and analyze this expanding pharmaceutical data flow.
Area of Science:
- Drug Discovery
- Cheminformatics
- Data Management
Background:
- The pharmaceutical discovery process is generating unprecedented volumes of data.
- Current methods struggle to manage and interpret this data effectively.
- Advancements in robotics and software exacerbate data management challenges.
Purpose of the Study:
- To present a cheminformatics system designed to address data management challenges in pharmaceutical discovery.
- To facilitate the storage, extraction, analysis, and display of pharmaceutical data.
- To support the evolving needs of disciplines involved in the discovery process.
Main Methods:
- Discussion of a schematic cheminformatics system.
- Focus on software tools for data handling.
- Adaptation strategies for the discovery process.
Main Results:
- A proposed cheminformatics system architecture.
- Improved data handling capabilities for pharmaceutical research.
- Enhanced information accessibility for discovery teams.
Conclusions:
- Cheminformatics systems are crucial for managing large-scale pharmaceutical data.
- Software solutions are key to overcoming data generation challenges.
- Effective data management supports efficient drug discovery and development.