FAIRplus: eTOX Case Study - Opening up toxicology data about candidate drugs

A tremendous number of new chemical entities are discarded in drug development because candidate drugs prove to be toxic, even when potential drugs show excellent efficacy.

Broadly sharing toxicology knowledge would:

• Lower the attrition rate in drug development

• Significantly reduce animal testing

• Accelerate the development of novel drugs.

The IMI FAIRplus project demonstrated how the eTOX treasure trove of toxicology data could be made more Findable, Accessible, Interoperable and Reusable (FAIR) for drug development, arrived at lessons learned and developed a generic ‘recipe’ for the underlying ontology mapping.