Overall goal/objectives:
To integrate and utilize NAM-based data streams for chemical category development and to refine existing chemical categories used by both ecological and human health risk assessors. The primary objective is to identify new potential chemical groupings through their prediction with a developed consensus mode-of-action model. Secondary focus is to integrate the model with additional lines of evidence to provide guidance on assessment factors for ecological risk assessments.
Case Study Leader:
US EPA (Dan Chang)
Collaborators:
US EPA (ORD, OPPT and OPP), Health Canada, Environment Climate Change Canada
Status: In progress
- Drafting manuscript for the random forest classifier model to predict consensus mode of action for aquatic toxicity
Presentations or publications that have been publicly released:
- Publication in progress
- Fall 2020 ACS presentation “Revisiting and updating chemical categorizations using chemical fingerprints and high-throughput screening data”