Science Inventory

Collaborative Modeling Project for Predicting Acute Oral Toxicity (CATMoS) (QSAR 2021)

Citation:

Mansouri, K., A. Karmaus, J. Fitzpatrick, G. Patlewicz, P. Pradeep, D. Allen, W. Casey, AND N. Kleinstreuer. Collaborative Modeling Project for Predicting Acute Oral Toxicity (CATMoS) (QSAR 2021). Presentation to the QSAR 2021 International Workshop on QSAR in Environmental and Health Sciences June 2021, Virtual, NC, June 07 - 10, 2021. https://doi.org/10.23645/epacomptox.16455585

Impact/Purpose:

Presentation to the QSAR 2021 International Workshop on QSAR in Environmental and Health Sciences June 2021. Non-animal approaches are needed to assess an increasing number of chemicals for acute oral systemic toxicity potential. This work is part of an international collaborative project to develop in silico models to predict LD50 and bridge data gaps.

Description:

Non-animal approaches are needed to assess an increasing number of chemicals for acute oral systemic toxicity potential (LD50). NICEATM and the ICCVAM Acute Toxicity Workgroup organized an international collaborative project to develop in silico models to predict LD50 and bridge data gaps. Participants from 35 groups submitted a total of 139 predictive models built using a dataset of 11,992 chemicals split into training (75%) and evaluation sets (25%). Crowdsourced models were developed for five endpoints: LD50 point estimates, EPA hazard categories, GHS hazard categories, very toxic (LD50 2000 mg/kg). Predictions within the applicability domains of the submitted models were evaluated, then combined into consensus predictions based on a weight-of-evidence approach. The resulting consensus model, forming the Collaborative Acute Toxicity Modeling Suite (CATMoS), leverages the strengths and overcomes the limitations of individual modeling approaches. The consensus predictions are fully reproduceable and performed at least as well as independent replicates of in vivo acute oral toxicity assays. The CATMoS consensus model is available via the free and open-source tool OPERA (Open Structure-activity/property Relationship App). OPERA also provides predictions for physicochemical and pharmacokinetic properties and other toxicological endpoints with applicability domain and accuracy assessment. CATMoS predictions for the ~850k chemical structures in DSSTox are being made publicly accessible via NTP’s Integrated Chemical Environment and the EPA’s CompTox Chemicals Dashboard. This project was funded with federal funds from the NIEHS, NIH under Contract No. HHSN273201500010C. This abstract does not necessarily reflect EPA policy.

Record Details:

Record Type:DOCUMENT( PRESENTATION/ POSTER)
Product Published Date:06/10/2021
Record Last Revised:08/26/2021
OMB Category:Other
Record ID: 352651