Potassium 3-sulphopropyl methacrylate

Partition coefficient

Link to relevant study record(s)

Reference

Endpoint:

partition coefficient

Type of information:

(Q)SAR

Adequacy of study:

key study

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
EPIWIN software by US-EPA

2. MODEL (incl. version number)
KOWWIN v1.68

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
C(=C)(C)C(=O)OCCCS(=O)(=O)OK

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
- The model and the training and validation sets are published by US Environmental Protection Agency (USA).
The experimental Log Kow values in the training set and validation set were measured using one or more methods equivalent or similar to the following guidelines:
- Shake Flask method (OECD TG 107)
- HPLC method (OECD TG 117)
- Slow Stirring method (OECD TG 123)
Plus relevant EU (1992 as amended) and US EPA OPPTS (1982 as amended) and ASTM (1993) methods may be also used where appropriate.
A full list of experimental Log Kow reference citations is provided in the KOWWIN help menu with additional reference citations.

5. APPLICABILITY DOMAIN
The intended application domain is organic chemicals. Inorganic and organometallic chemicals generally are outside the domain.
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 organic substance potassium 3-sulphopropyl methacrylate lies within the applicability domain with a molecular weight of ca. 247. KOWWIN includes some “corrections” for ionisable substances to refine the lower predictivity for these substances. The result seems reasonable taking into account the structure of the substance and its water solubility. Due to the magnitude of the result and the suitable training set the result is considered as adequate.

Guideline:

other: REACH guidance on QSARs Chapter R.6

Version / remarks:

May 2008

Principles of method if other than guideline:

Meylan, W.M. and P.H. Howard. 1995. Atom/fragment contribution method for estimating octanol-water partition coefficients. J. Pharm. Sci. 84: 83-92

GLP compliance:

no

Remarks:

(not applicable)

Type of method:

other: QSAR calculation

Partition coefficient type:

octanol-water

Specific details on test material used for the study:

SMILES: C(=C)(C)C(=O)OCCCS(=O)(=O)OK

Key result

Type:

log Pow

Partition coefficient:

-3.1

Remarks on result:

other: QSAR predicted value

KOWWIN predicted that the substance has a log Kow = -3.1

Conclusions:

The study report describes a scientifically accepted calculation method for the partition coefficient using the US-EPA software KOWWIN v1.68. No GLP criteria are applicable for the usage of this tool and the QSAR estimation is easily repeatable. The result is adequate for the regulatory purpose.
logPow = -3.1

Executive summary:

The partition coefficient of the substance potassium 3-sulphopropyl methacrylate was determined by the computer program KOWWIN v1.68 (EPIWIN software) by US-EPA (2012). The program uses the chemical structure of a compound to predict the logarithmic octanol water partition coefficient (logPow). The structure is denoted in its SMILES notation. As first step the software determines the logPow contributions from individual molecular fragments. Afterwards these fragments are summed up to gain the logPow for the whole molecule. In this case a logPow of -3.1 was determined as result. Adequacy of the QSAR:

- QSAR model is scientifically valid.

- The substance falls within the applicability domain of the QSAR model.

- The prediction is fit for regulatory purpose.

Description of key information

logPow = -3.1 (KOWWIN (v1.68) estimation)

Key value for chemical safety assessment

Log Kow (Log Pow):

-3.1