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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.

The new ECHA CHEM database has been released by ECHA, and it now contains all REACH registration data. There are more details on the transition of ECHA's published data to ECHA CHEM here.

Diss Factsheets

Toxicological information

Genetic toxicity: in vitro

Currently viewing:

Administrative data

Endpoint:
in vitro gene mutation study in bacteria
Remarks:
Type of genotoxicity: gene mutation
Type of information:
(Q)SAR
Adequacy of study:
supporting study
Study period:
June, 2010
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
other: Ames test show prediction values with low reliability index from the software Tox Boxes 2.9.
Justification for type of information:
QSAR prediction: migrated from IUCLID 5.6

Data source

Reference
Reference Type:
study report
Title:
Unnamed
Year:
2010
Report date:
2010

Materials and methods

Test guideline
Qualifier:
no guideline followed
Principles of method if other than guideline:
In silico prediction.
Tox Boxes 2.9 is the in house software for the prediction of basic toxicity endpoints in chemicals. Predictions are made analyzing the chemical structure and based upon large validated databases and QSAR models, in combination with expert knowledge of organic chemistry and toxicology.
GLP compliance:
not specified
Type of assay:
bacterial reverse mutation assay

Test material

Constituent 1
Chemical structure
Reference substance name:
Sodium [[1-(phenylmethyl)-1H-indazol-3-yl]oxy]acetate
EC Number:
245-528-4
EC Name:
Sodium [[1-(phenylmethyl)-1H-indazol-3-yl]oxy]acetate
Cas Number:
23255-99-4
Molecular formula:
C16H14N2O3.Na
IUPAC Name:
sodium [(1-benzyl-1H-indazol-3-yl)oxy]acetate

Results and discussion

Applicant's summary and conclusion

Conclusions:
Interpretation of results (migrated information):
other: no alert

No alert came be observed for ames test by Tox Boxes 2.9 (software for the prediction). Ames test show prediction values with low reliability index.