Registration Dossier
Registration Dossier
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EC number: 947-718-9 | 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 and falling into its applicability domain, with adequate and reliable documentation / justification
- 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. - Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- 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:
- 14.411
- 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. - Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- 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:
- 13.32
- 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 and falling into its applicability domain, with adequate and reliable documentation / justification
- 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. - Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- 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:
- 5.621
- 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. - Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- 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:
- 5.63
- 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. - Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- 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:
- 31.183
- 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. - Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- 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:
- 28.69
- 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. - Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- 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:
- 22.394
- 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. - Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- Reason / purpose for cross-reference:
- reference to same study
- 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:
- 21
- Remarks on result:
- other: QSAR result, no information on temperature and pH available.
Referenceopen allclose all
TYPE |
NUM |
LOGKOW FRAGMENT DESCRIPTION |
COEFF |
VALUE |
Frag |
4 |
-CH3 [aliphatic carbon] |
0.5473 |
2.1892 |
Frag |
32 |
-CH2- [aliphatic carbon] |
0.4911 |
15.7152 |
Frag |
4 |
-CH [aliphatic carbon] |
0.3614 |
1.4456 |
Frag |
2 |
-OH [hydroxy, aliphatic attach] |
-1.4086 |
-2.8172 |
Frag |
1 |
-O- [oxygen, aliphatic attach] |
-1.2566 |
-1.2566 |
Frag |
2 |
-C(=O)O [ester, aliphatic attach] |
-0.9505 |
-1.9010 |
Factor |
1 |
Multi-alcohol correction |
0.4064 |
0.4064 |
Factor |
1 |
HO-CH2-CH(-OH)-C-O- [linear-type] correc. |
0.4000 |
0.4000 |
Const |
|
Equation Constant |
|
0.2290 |
For detailed information on the results please refer to the attached report.
TYPE |
NUM |
LOGKOW FRAGMENT DESCRIPTION |
COEFF |
VALUE |
Frag |
2 |
-CH3 [aliphatic carbon] |
0.5473 |
1.0946 |
Frag |
18 |
-CH2- [aliphatic carbon] |
0.4911 |
8.8398 |
Frag |
3 |
-CH [aliphatic carbon] |
0.3614 |
1.0842 |
Frag |
3 |
-OH [hydroxy, aliphatic attach] |
-1.4086 |
-4.2258 |
Frag |
1 |
-O- [oxygen, aliphatic attach] |
-1.2566 |
-1.2566 |
Frag |
1 |
-C(=O)O [ester, aliphatic attach] |
-0.9505 |
-0.9505 |
Factor |
1 |
Multi-alcohol correction |
0.4064 |
0.4064 |
Factor |
1 |
HO-CH2-CH(-OH)-C-O- [linear-type] correc. |
0.4000 |
0.4000 |
Const |
|
Equation Constant |
|
0.2290 |
For detailed information on the results please refer to the attached report.
TYPE |
NUM |
LOGKOW FRAGMENT DESCRIPTION |
COEFF |
VALUE |
Frag |
8 |
-CH3 [aliphatic carbon] |
0.5473 |
4.3784 |
Frag |
60 |
-CH2- [aliphatic carbon] |
0.4911 |
29.4660 |
Frag |
6 |
-CH [aliphatic carbon] |
0.3614 |
2.1684 |
Frag |
1 |
-O- [oxygen, aliphatic attach] |
-1.2566 |
-1.2566 |
Frag |
4 |
-C(=O)O [ester, aliphatic attach] |
-0.9505 |
-3.8020 |
Const |
|
Equation Constant |
|
0.2290 |
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 |
46 |
-CH2- [aliphatic carbon] |
0.4911 |
22.5906 |
Frag |
5 |
-CH [aliphatic carbon] |
0.3614 |
1.8070 |
Frag |
1 |
-OH [hydroxy, aliphatic attach] |
-1.4086 |
-1.4086 |
Frag |
1 |
-O- [oxygen, aliphatic attach] |
-1.2566 |
-1.2566 |
Frag |
3 |
-C(=O)O [ester, aliphatic attach] |
-0.9505 |
-2.8515 |
Const |
|
Equation Constant |
|
0.2290 |
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 1.68)
Key value for chemical safety assessment
Additional information
Explanation of the results
Table 1: For the four evaluated components of the substance, the Log Pow values as estimated by the VEGA/ALogP and EPI Suite/KOWWIN models are reported. When relevant, the two most similar substances identified by VEGA are also included (using their CAS number), together with their similarity degree with the target component, experimental Log Pow values and the predictions obtained by the VEGA models.
Evaluation of |
Molecule / CAS |
Similarity degree |
Experimental Log Pow |
VEGA / ALogP |
EPI Suite / KOWWIN |
Monoester |
Target |
- |
n.a. |
5.63 |
5.62 |
6678-14-4 |
0.828 |
5.49 |
4.54 |
5.30 |
|
3593-96-2 |
0.823 |
4.48 |
3.63 |
4.32 |
|
|
|
|
|
|
|
Diester |
Target |
- |
n.a. |
13.32 |
14.41 |
|
|
|
|
|
|
Triester |
Target |
- |
n.a. |
21.0 |
22.39 |
|
|
|
|
|
|
Tetraester |
Target |
- |
n.a. |
28.69 |
31.18 |
Discussion
The applicability domain (AD) evaluation performed by the VEGA software suggests that only the monoester component could be predicted with sufficient reliability by ALogP model. With regards to the KOWWIN model, both monoester and diester components fit within the applicability domain.
The monoester is the only component which Log Pow is predicted to be < 10 and for which similar molecules can be identified within the models’ dataset. The comparison of the values obtained by the two models for the two most similar substances and their experimental values, suggests that the EPI Suite’s evaluation of the monoester’s Log Pow should be slightly more reliable than that obtained by ALogP; the two software provided however nearly identical evaluations.
Considering the Log Pow values (as obtained by the models) and the compositions of the two grades, the influence of the monoester component on the Log Pow of the substance can be considered as negligible: the monoester is absent in grade one and present only at very low percentage in grade two.
Conclusion
Considering the results obtained for the representative components and the compositions, a Log Pow > 10 can be estimated for both grades of the substance.
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