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Navigating through the minefield of read-across tools: A review of in silico tools for grouping. | LitMetric

Navigating through the minefield of read-across tools: A review of in silico tools for grouping.

Comput Toxicol

National Center for Computational Toxicology (NCCT), Office of Research and Development, US Environmental Protection Agency, 109 TW Alexander Dr, Research Triangle Park (RTP), NC 27711, USA.

Published: August 2017


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Article Abstract

Read-across is a popular data gap filling technique used within analogue and category approaches for regulatory purposes. In recent years there have been many efforts focused on the challenges involved in read-across development, its scientific justification and documentation. Tools have also been developed to facilitate read-across development and application. Here, we describe a number of publicly available read-across tools in the context of the category/analogue workflow and review their respective capabilities, strengths and weaknesses. No single tool addresses all aspects of the workflow. We highlight how the different tools complement each other and some of the opportunities for their further development to address the continued evolution of read-across.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6134855PMC
http://dx.doi.org/10.1016/j.comtox.2017.05.003DOI Listing

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