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Building a compendium of expert driven read-across cases to facilitate an analysis of the contribution that different similarity contexts play in read-across performance
Citation:
Patlewicz, G., A. Ross, H. Bledsoe, J. Vidal, L. Groff, B. Hagan, AND I. Shah. Building a compendium of expert driven read-across cases to facilitate an analysis of the contribution that different similarity contexts play in read-across performance. SOT, Salt Lake City, UT, March 10 - 14, 2024. https://doi.org/10.23645/epacomptox.25395676
Impact/Purpose:
Presentation to the Society of Toxicology (SOT) 63rd Annual Meeting and ToxExpo March 2024
Description:
Read-across is a data-gap filling technique utilised to predict the toxicity of a target chemical using data from similar analogues. Read-across is predominantly performed as part of an expert-driven assessment which can impeded broad acceptance. Data-driven approaches such as Generalised Read-Across (GenRA) offer scope to generate reproducible read-across predictions where uncertainties and performance are quantified. A key issue is how to reconcile an expert-driven approach with a data driven approach both in terms of how analogues are identified and evaluated as well as how the read-across prediction is derived. An important component of analogue identification and selection is in understanding the contribution that different similarity contexts play, i.e. does structural similarity play a larger role in analogue selection compared with metabolism similarity. This study aimed to explore some of these considerations through building a compendium of expert-driven read-across assessments that had been published for repeated-dose toxicity endpoints.
URLs/Downloads:
DOI: Building a compendium of expert driven read-across cases to facilitate an analysis of the contribution that different similarity contexts play in read-across performance
POSTER.PDF (PDF, NA pp, 1812.893 KB, about PDF)