Enhancing the EPA Adverse Outcome Pathway Database (AOP-DB): Recent Updates and Sematic Integration

There is a need for more efficient use of existing data to characterize human toxicological response data for environmental chemicals of interest to the US Environmental Protection Agency (EPA). The Adverse Outcome Pathway (AOP) framework helps to organize existing mechanistic information, where AOP data is currently submitted directly by users and stored in the AOPwiki. Automatic and systematic parsing of AOPwiki data is challenging, so we have created the EPA AOP-DB. The AOP-DB is an AOP profiler, developed to assist in biological and mechanistic characterization of AOP data and provide a broad, systems-level overview of the biological context of AOPs. Here we present recent updates to AOP-DB version 2, including 262 AOPs from the AOP-wiki xml, AOP-Tissue Network and Human Susceptibility modules, and a computationally-predicted AOP Builder. We also present updates to the GUI frontend with search and download capabilities. Lastly, we describe recent semantic mapping efforts for the AOP-DB, and how this process integrates AOP-DB data with other toxicologically relevant datasets. This abstract does not reflect EPA Policy

Impact/Purpose

There is a need for more efficient use of existing data to characterize human toxicological response data for environmental chemicals of interest to the US Environmental Protection Agency (EPA). The Adverse Outcome Pathway (AOP) framework helps to organize existing mechanistic information, where AOP data is currently submitted directly by users and stored in the AOPwiki.

Citation

Mortensen, H., T. Levey, m. martens, C. Evelo, AND E. Willighagen. Enhancing the EPA Adverse Outcome Pathway Database (AOP-DB): Recent Updates and Sematic Integration. Society of Toxicology Anaheim, 2020, Anaheim, CA, March 15 - 19, 2020.