t4 report*: Toward Good Read-Across Practice (GRAP) Guidance

@inproceedings{Ball2016t4RT,
  title={t4 report*: Toward Good Read-Across Practice (GRAP) Guidance},
  author={Nicholas S Ball and Mark T. D. Cronin and Jie Shen and K. Blackburn and Ewan D. Booth and Mounir Bouhifd and Elizabeth L. R. Donley and Laura A. Egnash and Charles E. Hastings and Daland R Juberg and Andr{\'e} Kleensang and Nicole C. Kleinstreuer and E. Dinant Kroese and Adam C. Lee and Thomas Luechtefeld and Alexandra M Maertens and Sue Marty and Jorge M. Naciff and Jessica A. Palmer and David Llevat P{\`a}mies and Mike G Penman and Andrea-Nicole Richarz and Daniel P. Russo and Sharon Buring Stuard and Grace Patlewicz and Bennard van Ravenzwaay and Shengde Wu and Hao Zhu and Thomas Hartung},
  booktitle={ALTEX},
  year={2016}
}
Grouping of substances and utilizing read-across of data within those groups represents an important data gap filling technique for chemical safety assessments. Categories/analogue groups are typically developed based on structural similarity and, increasingly often, also on mechanistic (biological) similarity. While read-across can play a key role in complying with legislations such as the European REACH regulation, the lack of consensus regarding the extent and type of evidence necessary to… CONTINUE READING

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SHOWING 1-10 OF 67 REFERENCES

Supporting read-across using biological data.

  • ALTEX
  • 2016
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

EU framework 6 project: predictive toxicology (PredTox)--overview and outcome.

  • Toxicology and applied pharmacology
  • 2011
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

A strategy for structuring and reporting a read-across prediction of toxicity.

  • Regulatory toxicology and pharmacology : RTP
  • 2015
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

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