ICCVAM Initiates Project on Predictive Models for Acute Oral Toxicity
The ICCVAM Acute Toxicity Workgroup is initiating a global project to develop in silico models of acute oral systemic toxicity that predict specific endpoints needed by regulatory agencies. These endpoints include identification of “very toxic” chemicals (LD50 less than 50 mg/kg) and “nontoxic” chemicals (LD50 greater than or equal to 2000 mg/kg), point estimates for rodent LD50s, and categorization of toxicity hazard using the U.S. Environmental Protection Agency (EPA) and Globally Harmonized System of Classification and Labelling (GHS) classification schemes.
NICEATM invites scientists to develop in silico models that predict any or all of these endpoints. NICEATM and the EPA National Center for Computational Toxicology (NCCT) have collected a large body of rat oral acute toxicity data. Subsets of these data will be used by project participants to build and test their models, and by NICEATM and the project organizing committee to evaluate the models. Models developed for the project that meet criteria defined by the project organizing committee will be used to generate consensus predictions for the acute oral toxicity endpoints of interest to regulatory agencies. A summary of the project and developed models will be submitted for publication in the peer-reviewed literature, and the predictions will be made available via the EPA’s Chemistry Dashboard.
Data for model development will be released November 17; data files and detailed project information will be available on the National Toxicology Program website. Project participants will be asked to submit prediction results from their models on two different datasets (training and evaluation set) by February 9, 2018. Project results will be presented at a workshop to be held at the National Institutes of Health in Bethesda, Maryland, on April 11-12, 2018.
Please contact NICEATM if you would like to participate in the project. This will allow us to notify you of data releases and upcoming deadlines. If you are part of a team, please identify and provide contact information for the person who will be the primary point of contact for your team.