Registration Dossier

Data platform availability banner - registered substances factsheets

Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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

Environmental fate & pathways

Biodegradation in water and sediment: simulation tests

Currently viewing:

Administrative data

Endpoint:
biodegradation in water: simulation testing on ultimate degradation in surface water
Type of information:
(Q)SAR
Adequacy of study:
supporting study
Study period:
2021
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
results derived from a valid (Q)SAR model and falling into its applicability domain, with adequate and reliable documentation / justification
Justification for type of information:
1. SOFTWARE
ISIDA Predictor. University of Strasbourg, 2020.

2. MODEL (incl. version number)
ISIDA Consensus - Persistence in Water medium classification model

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
See test material section and QPRF

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
See QMRF attached.

5. APPLICABILITY DOMAIN
See QPRF attached.

6. ADEQUACY OF THE RESULT
- The model is scientifically valid (see QMRF).
- The model estimates the Environmental fate and pathways, biodegradation, Biodegradation in water and sediment (see also QPRF).
- See QPRF for reliability assessment.

Data source

Reference
Reference Type:
study report
Title:
Unnamed
Year:
2021
Report date:
2021

Materials and methods

Principles of method if other than guideline:
Detailed information on the model :
- F. Lunghini, G. Marcou, P. Azam, M.H. Enrici, E. Van Miert and A. Varnek, Publicly available QSPR models for
environmental media persistence, SAR QSAR Env. Res., 31 (7) (2020), pp. 493-510
- G. Marcou, D. Horvath, F. Bonachera, and A. Varnek, Laboratoire De Chemoinformatique UMR 7140 CNRS, University
of Strasbourg, Strasbourg, FR, 2019. Available at http://infochim.u-strasbg.fr/
- G. Marcou, D. Horvath, V. Solov’Ev, A. Arrault, P. Vayer, and A. Varnek, Interpretability of SAR/QSAR models of any
complexity by atomic contributions, Mol. Inf. 31 (2012), pp. 639–642. doi:10.1002/minf.201100136

This model uses fragments as molecular descriptors and multiple algorithms to derive a consensus estimation.
see field 'Justification for type of information'

Test material

Constituent 1
Chemical structure
Reference substance name:
methyl (2R)-4-(dimethylcarbamoyl)-2-methylbutanoate; methyl (2S)-4-(dimethylcarbamoyl)-2-methylbutanoate
EC Number:
700-204-6
Cas Number:
1174627-68-9
Molecular formula:
C9H17NO3
IUPAC Name:
methyl (2R)-4-(dimethylcarbamoyl)-2-methylbutanoate; methyl (2S)-4-(dimethylcarbamoyl)-2-methylbutanoate
Test material form:
liquid

Results and discussion

Any other information on results incl. tables

The molecule is predicted as nP. Prediction is considered to be of Good reliability: the query compound is inside the AD of
14/20 individual models and the convergence of predictions (repartition of votes) is 100.00%.

Applicant's summary and conclusion

Conclusions:
The molecule is predicted as non persistent (nP).

Prediction is considered to be of Optimal reliability.
Executive summary:

methyl 5-(dimethylamino)-2-methyl-5-oxopentanoate is predicted as non persistent in water