Registration Dossier

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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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

Administrative data

Endpoint:
in vitro gene mutation study in bacteria
Type of information:
(Q)SAR
Adequacy of study:
key study
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
accepted calculation method
Justification for type of information:
SOFTWARE
QSAR DYES R&C
Report produced by version QSAR dyes R&C 2.0
Developed by Milano Chemometrics and QSAR Research Group, Dept. Earth and Environmental Sciences, University Milano-Bicocca, Italy.

Details about the tool are included into the attachment.

Data source

Reference
Reference Type:
other: (Q)SAR report
Title:
QSAR DYES R&C
Author:
-
Year:
2018
Bibliographic source:
QSAR mutagenicity (ames test), Developed by Milano Chemometrics and QSAR Research Group, Dept. Earth and Environmental Sciences, University Milano-Bicocca, Italy

Materials and methods

Principles of method if other than guideline:
QSAR Prediction. Details on the QSAR model used are reported in the attachment (i.e. (Q)SAR model reporting (QMRF)).
GLP compliance:
no
Type of assay:
bacterial reverse mutation assay

Test material

Constituent 1
Reference substance name:
Disperse Red 073
IUPAC Name:
Disperse Red 073

Results and discussion

Test results
Species / strain:
other: (Q)SAR prediction
Remarks on result:
mutagenic potential (based on QSAR/QSPR prediction)

Applicant's summary and conclusion

Conclusions:
Positive results in AMES test.
Executive summary:

The gene mutation potential on bacteria of the substance was investigated using a specific QSAR model, developed to predict the gene mutation potential in bacteria for dyes. The existing QSAR models have strong limitations to predict ionic complex structures as the organic dyes are, and consequently they provide unreliable results. The QSAR modelling was developped in accordance with the OECD principles (details in the documentation attached).

Based on the estimation, the substance is expected to be able to give positive results in AMES test system. The estimation resulted to be in the applicability domain of the model.

Conclusion

Positive results in AMES test.