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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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

Physical & Chemical properties

Partition coefficient

Currently viewing:

Administrative data

Link to relevant study record(s)

Reference
Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
key study
Study period:
2018
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
results derived from a (Q)SAR model, with limited documentation / justification, but validity of model and reliability of prediction considered adequate based on a generally acknowledged source
Justification for type of information:
1. SOFTWARE : EPISUITES v 4.10

2. MODEL (incl. version number) : KOWWIN v 1.68 from

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL : CN1C=NN(Br)(C)C1N=Nc2ccc(cc2)N(C)Cc3ccccc3

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
The scientific validity of the model has discussed in the document "QSAR Prediction Reporting Format (QPRF): Partition Coefficient". The document is attached in the section 13.


5. APPLICABILITY DOMAIN
The applicability domain is based on the maximum number of instances of that a fragment can be used in a chemical and molecular weight. The minimum and maximum values for molecular weight are the following:

Training Set Molecular Weights:
Minimum MW: 18.02
Maximum MW: 719.92
Average MW: 199.98

Validation Molecular Weights:
Minimum MW: 27.03
Maximum MW: 991.15
Average MW: 258.98

Currently there is no universally accepted definition of model domain. However, users may wish to consider the possibility that log P estimates are less accurate for compounds outside the MW range of the training set compounds, and/or that have more instances of a given fragment than the maximum for all training set compounds. It is also possible that a compound may have a functional group(s) or other structural features not represented in the training set, and for which no fragment coefficient was developed. These points should be taken into consideration when interpreting model results.

6. ADEQUACY OF THE RESULT
The n-octanol water partition coefficient was estimated to be -1.4333 (Log Kow), which is considered to be adequate for the risk assessment purposes.
Principles of method if other than guideline:
Partition coefficient estimated using principles of QSAR for which Kowwin v 1.68 was used.
GLP compliance:
no
Partition coefficient type:
octanol-water
Key result
Type:
log Pow
Partition coefficient:
-1.43
Remarks on result:
other: Estimated using Kowwin v 1.68
Conclusions:
The partition coefficient (Log Kow) of Basic Red 046 Bromide was estimated to be -1.43 using Kowwin v 1.68.
Executive summary:

The partition coefficient (Log Kow) of Basic Red 046 Bromide was estimated to be -1.43 using Kowwin v 1.68.

Description of key information

Partition coefficient (Log Kow) of Basic Red 046 Bromide was estimated to be -1.43 using Kowwin v 1.68.

Key value for chemical safety assessment

Log Kow (Log Pow):
-1.43

Additional information