Assessing metabolic similarity for read-across predictions

Author:

Yordanova Darina G.,Schultz Terry W.,Kuseva Chanita D.,Mekenyan Ovanes G.

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Computer Science Applications,Toxicology

Reference33 articles.

1. European Chemical Agency (ECHA). 2017. Read-across assessment framework (RAAF). doi: 10.2823/619212.

2. A strategy for structuring and reporting a read-across prediction of toxicity;Schultz;Regul. Toxicol. Pharmacol.,2015

3. A framework for using structural, reactivity, metabolic and physicochemical similarity to evaluate the suitability of analogs for SAR-based toxicological assessments;Wu;Regul. Toxicol. Pharmacol.,2010

4. OECD, 2019. Report on considerations from case studies on integrated approaches for testing and assessment (IATA) Fourth Review Cycle (2018). Series on Testing and Assessment No. 307. ENV/JM/MONO(2019)26. Annex 1: Template for IATA Case Studies on Chemical Grouping (Read-across). http://www.oecd.org/officialdocuments/publicdisplaydocumentpdf/?cote=ENV/JM/MONO(2019)26&docLanguage=en (accessed 01 December 2020).

5. N. Ball, et al., Toward good read-across practice (GRAP) guidance. ALTEX, 33 (2) (2016) 149-166. doi: 10.14573/altex.1601251.

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