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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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

Environmental fate & pathways

Biodegradation in soil

Currently viewing:

Administrative data

Endpoint:
biodegradation in soil: simulation testing
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 Soil 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 biodegradation (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 can be found in
- 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

Test material form:
liquid
Specific details on test material used for the study:
CAS 700-204-6

Results and discussion

Half-life / dissipation time of parent compound
DT50:
7 d

Any other information on results incl. tables

Prediction is considered to be of Optimal reliability: the query compound is inside the AD of 13/15 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:

The software predicted methyl 5-(dimethylamino)-2-methyl-5-oxopentanoate as non Persistent in soil