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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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

Description of key information

Skin sensitisation

Experimental skin sensitisation data are not available for the substance.

As a result of an overall assessment of the QSAR predictions (detailed in Table below) the substance can not be classified for skin sensitisation.

Predicted data are inconclusive for the classification of the substance as skin sensitizer since all the results obtained by qualitative models are not reliable; moreover, not all models has identified one structural alert (e.g. protein binding profilers OECD).

Table. Results of QSAR predictions performed by different models.

Name of the software

Model/module

Model type

Result

QSAR Toolbox

Proteing binding profilers OASIS v1.4

Structural alerts

Acylation

Proteing binding profilers OECD

Structural alerts

No alert found

Proteing binding potency

Structural alerts

Not possible to classify according to these rules (GSH)

Protein binding alerts for skin sensitization by OASIS v.1.4

Structural alerts

Acylation

Protein binding alerts for skin sensitization according to GHS

Structural alerts

Skin sensitization Category 1B

ToxTree

Skin sensitisation reactivity domains

Structural alerts

Alert for Acyl Transfer agent identified

VEGA

Skin sensitisation CAESAR

Qualitative

 

Skin sensitisation model in VEGA: aggregated data from Gebericket al.(2005) (extreme, strong and weak sensitisers coded as positive, NC as negative) 

Prediction non reliable, the predicted compound is outside the Applicability Domain of the model.

Danish (Q)SAR database

Skin sensitisation (CASE Ultra, Leadscope and SciQSAR)

Qualitative

 

Several factors were considered in the activity classification including: the type of assay used, i.e. human or guinea pig maximization test; use of adjuvant; dose used for challenge; and the sensitisation rate. Weak, moderate, strong and extreme sensitizers were included in the model training set as positive and non-sensitizers were included as negative

Prediction non reliable, the predicted compound is outside the Applicability Domain of all models.

Battery

INC_OUT

CASE Ultra INC_OUT     

Leadscope NEG_OUT      

SciQSAR POS_OUT

Key value for chemical safety assessment

Justification for classification or non-classification