Abstract
Generalized Read-Across (GenRA): A workflow implemented into the EPA CompTox Chemicals Dashboard_suppl
Highlights
Given the thousands of data-poor or toxicologically uncharacterized chemicals in commerce, read-across has proved to be a convenient and efficient data gap filling technique that can be used within analogue and category approaches for many different regulatory purposes
The approach is a generalization of the Chemical Biological Read-Across (CBRA) approach published by Low et al (2013)
The Generalized Read-across (GenRA) framework has been implemented using a classical three tier architecture, which is seamlessly embedded in the EPA CompTox Chemicals Dashboard, and includes: 1) a web-based presentation tier; 2) an application tier based on representational
Summary
Given the thousands of data-poor or toxicologically uncharacterized chemicals in commerce, read-across has proved to be a convenient and efficient data gap filling technique that can be used within analogue and category approaches for many different regulatory purposes. We present the web-based implementation of Generalized Read-across (GenRA), a data-driven approach that makes reproducible read-across predictions of toxicity outcomes from in vivo studies (Shah et al, 2016). The presentation layer components in GenRA perform their specific tasks by obtaining information about chemicals, analogues, bioactivity and toxicity from the application tier.
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