t 4 report * Supporting Read-Across Using Biological Data

semanticscholar(2016)

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167 Received January 25, 2016; Accepted February 9, 2016; Epub February 11, 2016; http://dx.doi.org/10.14573/altex.1601252 mechanisms, so only using chemical similarity to justify the read-across will be error-prone, especially when chemically similar compounds show dissimilar toxicity phenomena. The availability of massive biological datasets for environmental compounds makes biological similarity approaches feasible within the scope of read-across. This paper, which accompanies the efforts toward Good Read-Across Practice (Ball et al.,
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