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Physical & Chemical properties

Partition coefficient

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Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
weight of evidence
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
results derived from a valid (Q)SAR model, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
Remarks:
The substance is not fully compliant with the applicability domain of the model. However, this calculation is used in a weight of evidence approach, in accordance to the REACh Regulation (EC) No 1907/2006, Annex XI General rules for adaptation of the standard testing regime set out in Annexes VII to X, 1.2. It is adequately documented and justified: the prediction is evaluated on the basis of the model performance on similar substances. For more details see section `Overall remarks, attachments´.
Justification for type of information:
1. SOFTWARE
EPI Suite v4.11 (June 2017) Estimation Programs Interface Suite™ for Microsoft® Windows v 4.11 (June 2017). US EPA, United States Environmental Protection Agency, Washington, DC, USA.

2. MODEL (incl. version number)
KOWWIN v1.69

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
See “Test material information”

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
See attached information on the model provided by the developer. Further information on the OECD criteria as outlined by the applicant is provided below under "Any other information of materials and methods incl. tables"

5. APPLICABILITY DOMAIN
See attached information and information as provided in "Overall remarks, attachments" section.

6. ADEQUACY OF THE RESULT
See assessment of adequacy as outlined in the "Overall remarks, attachments" section.
Qualifier:
according to guideline
Guideline:
other: REACH Guidance on QSARs and grouping of chemicals (R.6)
Principles of method if other than guideline:
- Software tool(s) used including version: EPI Suite v4.11 (June 2017)
- Model(s) used: KOWWIN v1.69
The octanol-water partition coefficient of organic compounds is estimated starting from the chemical structure, which is divided into fragments (atom or larger functional groups). Coefficient values of each fragment or group are summed together to yield the log P estimate. For the complete method's description see field 'Any other information on materials and methods incl. tables'.
The datasets used for the model development (2447 molecules) and for the external validation (10946 molecules) are described in the field 'Any other information on materials and methods incl. tables'.
- Model description: see field 'Justification for type of information', 'Attached justification' and 'Any other information on materials and methods'
- Justification of QSAR prediction: see field 'Justification for type of information', 'Attached justification' and 'Overall remarks'
GLP compliance:
no
Type of method:
other: QSAR
Partition coefficient type:
octanol-water
Type:
log Pow
Partition coefficient:
15.2
Remarks on result:
other: QSAR result, no information on temperature and pH available.

For detailed information on the results please refer to the attached report.

Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
weight of evidence
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
results derived from a valid (Q)SAR model, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
Remarks:
The substance is not fully compliant with the applicability domain of the model. However, this calculation is used in a weight of evidence approach or as supporting information, in accordance to the REACh Regulation (EC) No 1907/2006, Annex XI General rules for adaptation of the standard testing regime set out in Annexes VII to X, 1.2. It is adequately documented and justified: the overall internal quality check in VEGA indicates that the prediction is reliable with a Klimisch score of 2.
Justification for type of information:
1. SOFTWARE
VEGA version 1.1.5b48

2. MODEL (incl. version number)
ALogP Model v. 1.0.0

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
See “Test material information”

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
See attached information on the model provided by the developer. Further information on the OECD criteria as outlined by the applicant is provided below under "Any other information of materials and methods incl. tables"

5. APPLICABILITY DOMAIN
See attached information and information as provided in "Any other information on results incl. tables".

6. ADEQUACY OF THE RESULT
See assessment of adequacy as outlined in the "Overall remarks, attachments" section.
Qualifier:
according to guideline
Guideline:
other: REACH Guidance on QSARs and grouping of chemicals (R.6)
Principles of method if other than guideline:
- Software tool(s) used including version: VEGA v1.1.5b48
- Model(s) used: ALogP Model version 1.0.0
The model is based on the Ghose-Crippen-Viswanadhan LogP (ALogP) and consists of a regression equation based on the hydrophobicity contribution of 120 atom types as described in: A.K. Ghose and G.M. Crippen, J. Comput. Chem. 1986, 7, 565-577; V.N. Viswanadhan et al., J. Comput. Chem. 1993, 14, 1019-1026; A.K. Ghose, V.N. Viswanadhan, J.J. Wendoloski, J. Phys. Chem. A 1998, 102, 3762-3772. For the purpose of applicability domain assessment, the training set of the Meylan LogP model (9961 compounds) has been considered, setting all molecules as belonging to the test set.
- Model description: see field 'Justification for type of information', 'Attached justification' and 'any other information on Material and methods'
- Justification of QSAR prediction: see field 'Justification for type of information', 'Attached justification' and/or 'overall remarks'
GLP compliance:
no
Type of method:
other: QSAR
Partition coefficient type:
octanol-water
Type:
log Pow
Partition coefficient:
12.67
Remarks on result:
other: QSAR result, no information on temperature and pH available.

For detailed information on the results please refer to the attached report.

Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
weight of evidence
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
results derived from a valid (Q)SAR model, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
Remarks:
The substance is not fully compliant with the applicability domain of the model. However, this calculation is used in a weight of evidence approach, in accordance to the REACh Regulation (EC) No 1907/2006, Annex XI General rules for adaptation of the standard testing regime set out in Annexes VII to X, 1.2. It is adequately documented and justified: the prediction is evaluated on the basis of the model performance on similar substances. For more details see section `Overall remarks, attachments´.
Justification for type of information:
1. SOFTWARE
EPI Suite v4.11 (June 2017) Estimation Programs Interface Suite™ for Microsoft® Windows v 4.11 (June 2017). US EPA, United States Environmental Protection Agency, Washington, DC, USA.

2. MODEL (incl. version number)
KOWWIN v1.69

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
See “Test material information”

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
See attached information on the model provided by the developer. Further information on the OECD criteria as outlined by the applicant is provided below under "Any other information of materials and methods incl. tables"

5. APPLICABILITY DOMAIN
See attached information and information as provided in "Overall remarks, attachments" section.

6. ADEQUACY OF THE RESULT
See assessment of adequacy as outlined in the "Overall remarks, attachments" section.
Qualifier:
according to guideline
Guideline:
other: REACH Guidance on QSARs and grouping of chemicals (R.6)
Principles of method if other than guideline:
- Software tool(s) used including version: EPI Suite v4.11 (June 2017)
- Model(s) used: KOWWIN v1.69
The octanol-water partition coefficient of organic compounds is estimated starting from the chemical structure, which is divided into fragments (atom or larger functional groups). Coefficient values of each fragment or group are summed together to yield the log P estimate. For the complete method's description see field 'Any other information on materials and methods incl. tables'.
The datasets used for the model development (2447 molecules) and for the external validation (10946 molecules) are described in the field 'Any other information on materials and methods incl. tables'.
- Model description: see field 'Justification for type of information', 'Attached justification' and 'Any other information on materials and methods'
- Justification of QSAR prediction: see field 'Justification for type of information', 'Attached justification' and 'Overall remarks'
GLP compliance:
no
Type of method:
other: QSAR
Partition coefficient type:
octanol-water
Type:
log Pow
Partition coefficient:
14.48
Remarks on result:
other: QSAR result, no information on temperature and pH available.

For detailed information on the results please refer to the attached report.

Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
weight of evidence
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
results derived from a valid (Q)SAR model, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
Remarks:
The substance is not fully compliant with the applicability domain of the model. However, this calculation is used in a weight of evidence approach or as supporting information, in accordance to the REACh Regulation (EC) No 1907/2006, Annex XI General rules for adaptation of the standard testing regime set out in Annexes VII to X, 1.2. It is adequately documented and justified: the overall internal quality check in VEGA indicates that the prediction is reliable with a Klimisch score of 2.
Justification for type of information:
1. SOFTWARE
VEGA version 1.1.5b48

2. MODEL (incl. version number)
ALogP Model v. 1.0.0

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
See “Test material information”

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
See attached information on the model provided by the developer. Further information on the OECD criteria as outlined by the applicant is provided below under "Any other information of materials and methods incl. tables"

5. APPLICABILITY DOMAIN
See attached information and information as provided in "Any other information on results incl. tables".

6. ADEQUACY OF THE RESULT
See assessment of adequacy as outlined in the "Overall remarks, attachments" section.
Qualifier:
according to guideline
Guideline:
other: REACH Guidance on QSARs and grouping of chemicals (R.6)
Principles of method if other than guideline:
- Software tool(s) used including version: VEGA v1.1.5b48
- Model(s) used: ALogP Model version 1.0.0
The model is based on the Ghose-Crippen-Viswanadhan LogP (ALogP) and consists of a regression equation based on the hydrophobicity contribution of 120 atom types as described in: A.K. Ghose and G.M. Crippen, J. Comput. Chem. 1986, 7, 565-577; V.N. Viswanadhan et al., J. Comput. Chem. 1993, 14, 1019-1026; A.K. Ghose, V.N. Viswanadhan, J.J. Wendoloski, J. Phys. Chem. A 1998, 102, 3762-3772. For the purpose of applicability domain assessment, the training set of the Meylan LogP model (9961 compounds) has been considered, setting all molecules as belonging to the test set.
- Model description: see field 'Justification for type of information', 'Attached justification' and 'any other information on Material and methods'
- Justification of QSAR prediction: see field 'Justification for type of information', 'Attached justification' and/or 'overall remarks'
GLP compliance:
no
Type of method:
other: QSAR
Partition coefficient type:
octanol-water
Type:
log Pow
Partition coefficient:
12.52
Remarks on result:
other: QSAR result, no information on temperature and pH available.

For detailed information on the results please refer to the attached report.

Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
weight of evidence
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
results derived from a valid (Q)SAR model, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
Remarks:
The substance is not fully compliant with the applicability domain of the model. However, this calculation is used in a weight of evidence approach, in accordance to the REACh Regulation (EC) No 1907/2006, Annex XI General rules for adaptation of the standard testing regime set out in Annexes VII to X, 1.2. It is adequately documented and justified: the prediction is evaluated on the basis of the model performance on similar substances. For more details see section `Overall remarks, attachments´.
Justification for type of information:
1. SOFTWARE
EPI Suite v4.11 (June 2017) Estimation Programs Interface Suite™ for Microsoft® Windows v 4.11 (June 2017). US EPA, United States Environmental Protection Agency, Washington, DC, USA.

2. MODEL (incl. version number)
KOWWIN v1.69

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
See “Test material information”

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
See attached information on the model provided by the developer. Further information on the OECD criteria as outlined by the applicant is provided below under "Any other information of materials and methods incl. tables"

5. APPLICABILITY DOMAIN
See attached information and information as provided in "Overall remarks, attachments" section.

6. ADEQUACY OF THE RESULT
See assessment of adequacy as outlined in the "Overall remarks, attachments" section.
Qualifier:
according to guideline
Guideline:
other: REACH Guidance on QSARs and grouping of chemicals (R.6)
Principles of method if other than guideline:
- Software tool(s) used including version: EPI Suite v4.11 (June 2017)
- Model(s) used: KOWWIN v1.69
The octanol-water partition coefficient of organic compounds is estimated starting from the chemical structure, which is divided into fragments (atom or larger functional groups). Coefficient values of each fragment or group are summed together to yield the log P estimate. For the complete method's description see field 'Any other information on materials and methods incl. tables'.
The datasets used for the model development (2447 molecules) and for the external validation (10946 molecules) are described in the field 'Any other information on materials and methods incl. tables'.
- Model description: see field 'Justification for type of information', 'Attached justification' and 'Any other information on materials and methods'
- Justification of QSAR prediction: see field 'Justification for type of information', 'Attached justification' and 'Overall remarks'
GLP compliance:
no
Type of method:
other: QSAR
Partition coefficient type:
octanol-water
Type:
log Pow
Partition coefficient:
15.69
Remarks on result:
other: QSAR result, no information on temperature and pH available.

For detailed information on the results please refer to the attached report.

Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
weight of evidence
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
results derived from a valid (Q)SAR model, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
Remarks:
The substance is not fully compliant with the applicability domain of the model. However, this calculation is used in a weight of evidence approach or as supporting information, in accordance to the REACh Regulation (EC) No 1907/2006, Annex XI General rules for adaptation of the standard testing regime set out in Annexes VII to X, 1.2. It is adequately documented and justified: the overall internal quality check in VEGA indicates that the prediction is reliable with a Klimisch score of 2.
Justification for type of information:
1. SOFTWARE
VEGA version 1.1.5b48

2. MODEL (incl. version number)
ALogP Model v. 1.0.0

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
See “Test material information”

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
See attached information on the model provided by the developer. Further information on the OECD criteria as outlined by the applicant is provided below under "Any other information of materials and methods incl. tables"

5. APPLICABILITY DOMAIN
See attached information and information as provided in "Any other information on results incl. tables".

6. ADEQUACY OF THE RESULT
See assessment of adequacy as outlined in the "Overall remarks, attachments" section.
Qualifier:
according to guideline
Guideline:
other: REACH Guidance on QSARs and grouping of chemicals (R.6)
Principles of method if other than guideline:
- Software tool(s) used including version: VEGA v1.1.5b48
- Model(s) used: ALogP Model version 1.0.0
The model is based on the Ghose-Crippen-Viswanadhan LogP (ALogP) and consists of a regression equation based on the hydrophobicity contribution of 120 atom types as described in: A.K. Ghose and G.M. Crippen, J. Comput. Chem. 1986, 7, 565-577; V.N. Viswanadhan et al., J. Comput. Chem. 1993, 14, 1019-1026; A.K. Ghose, V.N. Viswanadhan, J.J. Wendoloski, J. Phys. Chem. A 1998, 102, 3762-3772. For the purpose of applicability domain assessment, the training set of the Meylan LogP model (9961 compounds) has been considered, setting all molecules as belonging to the test set.
- Model description: see field 'Justification for type of information', 'Attached justification' and 'any other information on Material and methods'
- Justification of QSAR prediction: see field 'Justification for type of information', 'Attached justification' and/or 'overall remarks'
GLP compliance:
no
Type of method:
other: QSAR
Partition coefficient type:
octanol-water
Type:
log Pow
Partition coefficient:
13.99
Remarks on result:
other: QSAR result, no information on temperature and pH available.

For detailed information on the results please refer to the attached report.

Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
weight of evidence
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
results derived from a valid (Q)SAR model, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
Remarks:
The substance is not fully compliant with the applicability domain of the model. However, this calculation is used in a weight of evidence approach, in accordance to the REACh Regulation (EC) No 1907/2006, Annex XI General rules for adaptation of the standard testing regime set out in Annexes VII to X, 1.2. It is adequately documented and justified: the prediction is evaluated on the basis of the model performance on similar substances. For more details see section `Overall remarks, attachments´.
Justification for type of information:
1. SOFTWARE
EPI Suite v4.11 (June 2017) Estimation Programs Interface Suite™ for Microsoft® Windows v 4.11 (June 2017). US EPA, United States Environmental Protection Agency, Washington, DC, USA.

2. MODEL (incl. version number)
KOWWIN v1.69

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
See “Test material information”

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
See attached information on the model provided by the developer. Further information on the OECD criteria as outlined by the applicant is provided below under "Any other information of materials and methods incl. tables"

5. APPLICABILITY DOMAIN
See attached information and information as provided in "Overall remarks, attachments" section.

6. ADEQUACY OF THE RESULT
See assessment of adequacy as outlined in the "Overall remarks, attachments" section.
Qualifier:
according to guideline
Guideline:
other: REACH Guidance on QSARs and grouping of chemicals (R.6)
Principles of method if other than guideline:
- Software tool(s) used including version: EPI Suite v4.11 (June 2017)
- Model(s) used: KOWWIN v1.69
The octanol-water partition coefficient of organic compounds is estimated starting from the chemical structure, which is divided into fragments (atom or larger functional groups). Coefficient values of each fragment or group are summed together to yield the log P estimate. For the complete method's description see field 'Any other information on materials and methods incl. tables'.
The datasets used for the model development (2447 molecules) and for the external validation (10946 molecules) are described in the field 'Any other information on materials and methods incl. tables'.
- Model description: see field 'Justification for type of information', 'Attached justification' and 'Any other information on materials and methods'
- Justification of QSAR prediction: see field 'Justification for type of information', 'Attached justification' and 'Overall remarks'
GLP compliance:
no
Type of method:
other: QSAR
Partition coefficient type:
octanol-water
Type:
log Pow
Partition coefficient:
15.26
Remarks on result:
other: QSAR result, no information on temperature and pH available.

For detailed information on the results please refer to the attached report.

Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
weight of evidence
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
results derived from a valid (Q)SAR model, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
Remarks:
The substance is not fully compliant with the applicability domain of the model. However, this calculation is used in a weight of evidence approach or as supporting information, in accordance to the REACh Regulation (EC) No 1907/2006, Annex XI General rules for adaptation of the standard testing regime set out in Annexes VII to X, 1.2. It is adequately documented and justified: the overall internal quality check in VEGA indicates that the prediction is reliable with a Klimisch score of 2.
Justification for type of information:
1. SOFTWARE
VEGA version 1.1.5b48

2. MODEL (incl. version number)
ALogP Model v. 1.0.0

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
See “Test material information”

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
See attached information on the model provided by the developer. Further information on the OECD criteria as outlined by the applicant is provided below under "Any other information of materials and methods incl. tables"

5. APPLICABILITY DOMAIN
See attached information and information as provided in "Any other information on results incl. tables".

6. ADEQUACY OF THE RESULT
See assessment of adequacy as outlined in the "Overall remarks, attachments" section.
Qualifier:
according to guideline
Guideline:
other: REACH Guidance on QSARs and grouping of chemicals (R.6)
Principles of method if other than guideline:
- Software tool(s) used including version: VEGA v1.1.5b48
- Model(s) used: ALogP Model version 1.0.0
The model is based on the Ghose-Crippen-Viswanadhan LogP (ALogP) and consists of a regression equation based on the hydrophobicity contribution of 120 atom types as described in: A.K. Ghose and G.M. Crippen, J. Comput. Chem. 1986, 7, 565-577; V.N. Viswanadhan et al., J. Comput. Chem. 1993, 14, 1019-1026; A.K. Ghose, V.N. Viswanadhan, J.J. Wendoloski, J. Phys. Chem. A 1998, 102, 3762-3772. For the purpose of applicability domain assessment, the training set of the Meylan LogP model (9961 compounds) has been considered, setting all molecules as belonging to the test set.
- Model description: see field 'Justification for type of information', 'Attached justification' and 'any other information on Material and methods'
- Justification of QSAR prediction: see field 'Justification for type of information', 'Attached justification' and/or 'overall remarks'
GLP compliance:
no
Type of method:
other: QSAR
Partition coefficient type:
octanol-water
Type:
log Pow
Partition coefficient:
13.1
Remarks on result:
other: QSAR result, no information on temperature and pH available.

For detailed information on the results please refer to the attached report.

Description of key information

log Pow > 10 (QSAR models: VEGA / ALogP version 1.0.0 and EPI Suite / KOWWIN version 1.69)

Key value for chemical safety assessment

Additional information

The log Pow of the substance Fatty acids, tall oil, esters with ethylene glycol (CAS 68187 -85 -9) was determined by QSAR calculation with VEGA 1.1.5b48 and with EPI Suite v4.11 for four representative constituents of this UVCB substance.

Due to the fact that this substance's constituents are long chain hydrocarbons which exceed the applicability domain of the software used, the value for log Pow is reported with restrictions.Therefore, the partition coefficient of the substance is deduced to be > 10.