Landscape of current toxicity databases and database standards

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.
• 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.