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Related Experiment Videos

Landscape of current toxicity databases and database standards.

Chihae Yang1, R Daniel Benz, Mitchell A Cheeseman

  • 1Leadscope Inc, 1393 Dublin Road, Columbus, OH 43235, USA. cyang@leadscope.com

Current Opinion in Drug Discovery & Development
|February 1, 2006
PubMed
Summary
This summary is machine-generated.

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Integrating diverse toxicological databases is crucial for efficient research and development. Standardization enables data exchange, improving toxicity modeling and regulatory compliance.

Area of Science:

  • Toxicology
  • Data Science
  • Regulatory Science

Background:

  • Increasing need for historical toxicity data in research and development.
  • High costs associated with late-phase drug attrition and evolving international regulatory landscapes.
  • Global trend towards accelerated regulatory processes necessitates effective use of existing data.

Purpose of the Study:

  • To review major toxicological databases and discuss their role in research and development.
  • To highlight the importance of data integration and interoperability for toxicity modeling.
  • To demonstrate the benefits of standardized, qualified toxicity data through an example.

Main Methods:

  • Review of existing literature on toxicological databases.
  • Analysis of database standards and controlled vocabulary initiatives.

Related Experiment Videos

  • Illustrative example of data standardization in toxicology.

    • Main Results:

    • Identification of key databases for toxicological information.
    • Demonstration of how database interoperability facilitates data exchange and integration.
    • Evidence of benefits derived from a standardized toxicity database with qualified data.

    Conclusions:

    • Effective mining of fragmented toxicological data across diverse databases is essential.
    • Database interoperability and standardization are critical for efficient screening, profile development, and cross-referencing.
    • Standardized toxicity databases enhance the ability to model toxicity and support regulatory processes.