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EC number: 947-918-6 | CAS number: -
Partition coefficient
Administrative data
Link to relevant study record(s)
- 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 Estimation Programs Interface Suite™ for Microsoft® Windows v 4.11. US EPA, United States Environmental Protection Agency, Washington, DC, USA.
2. MODEL (incl. version number)
KOWWIN v1.68
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 R.6
- Principles of method if other than guideline:
- - Software tool(s) used including version: EPI Suite v4.11
- Model(s) used: KOWWIN v1.68
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 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:
- 8.97
- Remarks on result:
- other: QSAR result, no information on temperature and pH available.
- 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 overall internal quality check in VEGA v1.1.3 indicates that the prediction is reliable with a Klimisch score of 2.
- Justification for type of information:
- 1. SOFTWARE
VEGA version 1.1.3
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 R.6
- Principles of method if other than guideline:
- - Software tool(s) used including version: VEGA v1.1.3
- 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 (9,961 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:
- 7.91
- Remarks on result:
- other: QSAR result, no information on temperature and pH available.
- 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 Estimation Programs Interface Suite™ for Microsoft® Windows v 4.11. US EPA, United States Environmental Protection Agency, Washington, DC, USA.
2. MODEL (incl. version number)
KOWWIN v1.68
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 R.6
- Principles of method if other than guideline:
- - Software tool(s) used including version: EPI Suite v4.11
- Model(s) used: KOWWIN v1.68
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 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:
- > 10
- Remarks on result:
- other: QSAR result, no information on temperature and pH available.
- 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 Estimation Programs Interface Suite™ for Microsoft® Windows v 4.11. US EPA, United States Environmental Protection Agency, Washington, DC, USA.
2. MODEL (incl. version number)
KOWWIN v1.68
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 R.6
- Principles of method if other than guideline:
- - Software tool(s) used including version: EPI Suite v4.11
- Model(s) used: KOWWIN v1.68
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 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:
- > 10
- Remarks on result:
- other: QSAR result, no information on temperature and pH available.
- 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 overall internal quality check in VEGA v1.1.3 indicates that the prediction is reliable with a Klimisch score of 2.
- Justification for type of information:
- 1. SOFTWARE
VEGA version 1.1.3
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 R.6
- Principles of method if other than guideline:
- - Software tool(s) used including version: VEGA v1.1.3
- 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 (9,961 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:
- > 10
- Remarks on result:
- other: QSAR result, no information on temperature and pH available.
- 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 overall internal quality check in VEGA v1.1.3 indicates that the prediction is reliable with a Klimisch score of 2.
- Justification for type of information:
- 1. SOFTWARE
VEGA version 1.1.3
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 R.6
- Principles of method if other than guideline:
- - Software tool(s) used including version: VEGA v1.1.3
- 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 (9,961 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:
- > 10
- Remarks on result:
- other: QSAR result, no information on temperature and pH available.
Referenceopen allclose all
TYPE |
NUM |
LOGKOW FRAGMENT DESCRIPTION |
COEFF |
VALUE |
Frag |
6 |
-CH3 [aliphatic carbon] |
0.5473 |
3.2838 |
Frag |
21 |
-CH2- [aliphatic carbon] |
0.4911 |
10.3131 |
Frag |
6 |
-O- [oxygen, aliphatic attach] |
-1.2566 |
-7.5396 |
Frag |
3 |
Aromatic Carbon |
0.2940 |
0.8820 |
Frag |
3 |
Aromatic Nitrogen |
-0.7324 |
-2.1972 |
Frag |
3 |
-N [aliphatic N, one aromatic attach] |
-0.9170 |
-2.7510 |
Factor |
1 |
sym-Triazine ring correction |
0.8856 |
0.8856 |
Factor |
3 |
Amino triazine/pyrazine/pyrimidine correc. |
0.8566 |
2.5698 |
Factor |
6 |
-N-C-O- structure correction |
0.5494 |
3.2964 |
Const |
|
Equation Constant |
|
0.2290 |
|
|
|
Log Kow = |
8.9719 |
For detailed information on the results please refer to the attached report.
TYPE |
NUM |
LOGKOW FRAGMENT DESCRIPTION |
COEFF |
VALUE |
Frag |
6 |
-CH3 [aliphatic carbon] |
0.5473 |
3.2838 |
Frag |
38 |
-CH2- [aliphatic carbon] |
0.4911 |
18.6618 |
Frag |
6 |
-O- [oxygen, aliphatic attach] |
-1.2566 |
-7.5396 |
Frag |
3 |
Aromatic Carbon |
0.2940 |
0.8820 |
Frag |
3 |
Aromatic Nitrogen |
-0.7324 |
-2.1972 |
Frag |
3 |
-N [aliphatic N, one aromatic attach] |
-0.9170 |
-2.7510 |
Factor |
1 |
sym-Triazine ring correction |
0.8856 |
0.8856 |
Factor |
3 |
Amino triazine/pyrazine/pyrimidine correc. |
0.8566 |
2.5698 |
Factor |
6 |
-N-C-O- structure correction |
0.5494 |
3.2964 |
Const |
|
Equation Constant |
|
0.2290 |
|
|
|
Log Kow = |
17.3206 |
TYPE |
NUM |
LOGKOW FRAGMENT DESCRIPTION |
COEFF |
VALUE |
Frag |
6 |
-CH3 [aliphatic carbon] |
0.5473 |
3.2838 |
Frag |
55 |
-CH2- [aliphatic carbon] |
0.4911 |
27.0105 |
Frag |
6 |
-O- [oxygen, aliphatic attach] |
-1.2566 |
-7.5396 |
Frag |
3 |
Aromatic Carbon |
0.2940 |
0.8820 |
Frag |
3 |
Aromatic Nitrogen |
-0.7324 |
-2.1972 |
Frag |
3 |
-N [aliphatic N, one aromatic attach] |
-0.9170 |
-2.7510 |
Factor |
1 |
sym-Triazine ring correction |
0.8856 |
0.8856 |
Factor |
3 |
Amino triazine/pyrazine/pyrimidine correc. |
0.8566 |
2.5698 |
Factor |
6 |
-N-C-O- structure correction |
0.5494 |
3.2964 |
Const |
|
Equation Constant |
|
0.2290 |
|
|
|
Log Kow = |
25.6693 |
For detailed information on the results please refer to the attached report.
For detailed information on the results please refer to the attached report.
Description of key information
Log Pow > 7.91 (QSAR, Vega version 1.1.3 - ALogP version 1.0.0; EPI Suite version 4.11 - KOWWIN version 1.68).
Key value for chemical safety assessment
Additional information
Explanation of the results
Three representative structures have been used for the (Q)SAR evaluation of the vapour pressure. Two QSAR models were selected for the evaluation:
- ALogP model v. 1.0.0 (VEGA software v. 1.1.3)
- KOWWIN model v. 1.68 (EPI Suite software v. 4.11)
The results of the evaluation are summarized in the following table.
Evaluation of |
Molecular weight |
VEGA / ALogP |
EPI Suite / KOWWIN |
C16-Alkoxymethyl |
600.85 |
7.91 |
8.97 |
C16_C18-Alkoxymethyl |
839.3 |
15.62 |
17.32 |
C16_C18_C18-Alkoxymethyl |
1077.76 |
23.34 |
25.67 |
The applicability domain (AD) evaluation performed by the VEGA software suggests that all the evaluated molecules are out of the applicability domain of the ALogP model. With regards to the KOWWIN model, the evaluation of the molecular weight and fragment occurrences, place all three molecules possibly out of the applicability domain.
The structural similarities of the most similar substances retrieved by VEGA (using the KOWWIN dataset as source) compared to the target molecules were low. The evaluation of the models’ performances on these molecules was therefore not considered to be useful to support the results.
Considering the obtained results and the above considerations, the partition coefficient for the target substance can be reasonably estimated as log Pow > 7.91.
Information on Registered Substances comes from registration dossiers which have been assigned a registration number. The assignment of a registration number does however not guarantee that the information in the dossier is correct or that the dossier is compliant with Regulation (EC) No 1907/2006 (the REACH Regulation). This information has not been reviewed or verified by the Agency or any other authority. The content is subject to change without prior notice.
Reproduction or further distribution of this information may be subject to copyright protection. Use of the information without obtaining the permission from the owner(s) of the respective information might violate the rights of the owner.
