Transitioning the Generalised Read-Across approach (GenRA) to quantitative predictions: A case study using acute oral toxicity data.

ABSTRACT: Read-across approaches continue to evolve as does their utility in the field of risk assessment. Previously we presented our generalised read-across (GenRA) approach (Shah et al., 2016), which utilises chemical descriptor and/or in vitro bioactivity data to make read-across predictions on the basis of the similarity weighted average of nearest neighbours. The current public version of GenRA predicts 574 apical outcomes as a binary call from repeat dose toxicity studies available in ToxRefDB (Helman et al., 2019). Here we investigated the application of GenRA to quantitative values, specifically using a large dataset of rat oral acute LD50 toxicity data (LD50 values for 7011 discrete chemicals) that had been collected under the auspices of the ICCVAM acute toxicity workgroup (ATWG). GenRA L

SUBMITTER: Helman G 

PROVIDER: S-EPMC7898163 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature