Science Inventory

The EPA Comptox Dashboard as a Data Integration Hub for Environmental Chemistry Data

Citation:

Williams, A., A. McEachran, I. Shah, R. Judson, J. Wambaugh, N. Baker, G. Helman, Chris Grulke, K. Mansouri, G. Patlewicz, A. Richard, J. Dunne, AND J. Edwards. The EPA Comptox Dashboard as a Data Integration Hub for Environmental Chemistry Data. Presented at American Chemical Society Fall Meeting, Boston, MA, August 19 - 23, 2018. https://doi.org/10.23645/epacomptox.7005794

Impact/Purpose:

Abstract for American Chemical Society Fall Meeting 2018

Description:

The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This involves computational and data-driven approaches that integrate chemistry, exposure and biological data. The National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences, including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. The CompTox Chemistry Dashboard is a web-based application providing access to data associated with ~760,000 chemical substances. New data are continuously added to the database on an ongoing basis, along with registration of new and emerging chemicals. This includes data extracted from the literature, identified by our analytical labs, and otherwise of interest to support specific research projects to the agency. By adding these data, with their associated chemical identifiers (names and CAS Registry Numbers), the dashboard uses linking approaches to allow for automated searching of PubMed, Google Scholar and an array of public databases. This presentation will provide an overview of the CompTox Chemistry Dashboard, how it has developed into an integrated data hub for environmental data, and how it can be used for the analysis of emerging chemicals in terms of sourcing related chemicals of interest, and deriving read-across as well as QSAR predictions in real time. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.

Record Details:

Record Type:DOCUMENT( PRESENTATION/ SLIDE)
Product Published Date:08/23/2018
Record Last Revised:08/23/2018
OMB Category:Other
Record ID: 342086