Registration Dossier
Registration Dossier
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EC number: 301-037-8 | CAS number: 93980-59-7
Physical & Chemical properties
Partition coefficient
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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 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 1.1.4
2. MODEL (incl. version number)
Meylan/Kowwin v. 1.1.4
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 v1.1.4
- Model(s) used: Meylan/Kowwin LogP Model version 1.1.4
The model is based on the Atom/Fragment Contribution (AFC) method from the work of Meylan and Howard (W.M. Meylan and P.H. Howard, Atom/fragment contribution method for estimating octanol-water partition coefficients, 1995, J. Pharm. Sci. 84: 83-92.), as implemented in the EPI Suite KOWWIN module (http://www.epa.gov/oppt/exposure/pubs/episuite.htm). The calculated model has a lower bound of -5.0 log units (all predictions lower than this value are set to -5.0). A dataset of compounds with experimental log Pow values has been built starting from the original dataset provided in EPI Suite. The set has been processed and cleared from compounds that were replicated or that had problems with the provided molecule structure. The final dataset has 9961 compounds.
- 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:
- 5.04
- 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 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 1.1.4
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 v1.1.4
- 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 non-standard 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:
- 5.72
- 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
- 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 non-standard 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)
Meylan/Kowwin v. 1.1.4
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
- 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: Meylan/Kowwin LogP Model version 1.1.4
The model is based on the Atom/Fragment Contribution (AFC) method from the work of Meylan and Howard (W.M. Meylan and P.H. Howard, Atom/fragment contribution method for estimating octanol-water partition coefficients, 1995, J. Pharm. Sci. 84: 83-92.), as implemented in the EPI Suite KOWWIN module (http://www.epa.gov/oppt/exposure/pubs/episuite.htm). The calculated model has a lower bound of -5.0 log units (all predictions lower than this value are set to -5.0). A dataset of compounds with experimental logP values has been built starting from the original dataset provided in EPI suite. The set has been processed and cleared from compounds that were replicated or that had problems with the provided molecule structure. The final dataset has 9,961 compounds.
- Model description: see field 'Justification for non-standard 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 1.1.4
2. MODEL (incl. version number)
Meylan/Kowwin v. 1.1.4
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 v1.1.4
- Model(s) used: Meylan/Kowwin LogP Model version 1.1.4
The model is based on the Atom/Fragment Contribution (AFC) method from the work of Meylan and Howard (W.M. Meylan and P.H. Howard, Atom/fragment contribution method for estimating octanol-water partition coefficients, 1995, J. Pharm. Sci. 84: 83-92.), as implemented in the EPI Suite KOWWIN module (http://www.epa.gov/oppt/exposure/pubs/episuite.htm). The calculated model has a lower bound of -5.0 log units (all predictions lower than this value are set to -5.0). A dataset of compounds with experimental log Pow values has been built starting from the original dataset provided in EPI Suite. The set has been processed and cleared from compounds that were replicated or that had problems with the provided molecule structure. The final dataset has 9961 compounds.
- 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:
- 8.15
- 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 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 1.1.4
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 v1.1.4
- 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 non-standard 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:
- 8.31
- 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
- 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 non-standard 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)
Meylan/Kowwin v. 1.1.4
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
- 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: Meylan/Kowwin LogP Model version 1.1.4
The model is based on the Atom/Fragment Contribution (AFC) method from the work of Meylan and Howard (W.M. Meylan and P.H. Howard, Atom/fragment contribution method for estimating octanol-water partition coefficients, 1995, J. Pharm. Sci. 84: 83-92.), as implemented in the EPI Suite KOWWIN module (http://www.epa.gov/oppt/exposure/pubs/episuite.htm). The calculated model has a lower bound of -5.0 log units (all predictions lower than this value are set to -5.0). A dataset of compounds with experimental logP values has been built starting from the original dataset provided in EPI suite. The set has been processed and cleared from compounds that were replicated or that had problems with the provided molecule structure. The final dataset has 9,961 compounds.
- Model description: see field 'Justification for non-standard 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. - 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 non-standard 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)
Meylan/Kowwin v. 1.1.4
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
- 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: Meylan/Kowwin LogP Model version 1.1.4
The model is based on the Atom/Fragment Contribution (AFC) method from the work of Meylan and Howard (W.M. Meylan and P.H. Howard, Atom/fragment contribution method for estimating octanol-water partition coefficients, 1995, J. Pharm. Sci. 84: 83-92.), as implemented in the EPI Suite KOWWIN module (http://www.epa.gov/oppt/exposure/pubs/episuite.htm). The calculated model has a lower bound of -5.0 log units (all predictions lower than this value are set to -5.0). A dataset of compounds with experimental logP values has been built starting from the original dataset provided in EPI suite. The set has been processed and cleared from compounds that were replicated or that had problems with the provided molecule structure. The final dataset has 9,961 compounds.
- Model description: see field 'Justification for non-standard 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
For detailed information on the results please refer to the attached report.
For detailed information on the results please refer to the attached report.
The estimated Log Pow was 13.6.
Based on such high estimation, a value of > 10 is considered as a reasonable estimation for the evaluated molecule (see Overall remarks, attachments).
For detailed information on the results please refer to the attached report.
The estimated Log Pow was 13.9.
Based on such high estimation, a value of > 10 is considered as a reasonable estimation for the evaluated molecule (see Overall remarks, attachments).
For detailed information on the results please refer to the attached report.
For detailed information on the results please refer to the attached report.
For detailed information on the results please refer to the attached report.
The estimated Log Pow was 17.25.
Based on such high estimation, a value of > 10 is considered as a reasonable estimation for the evaluated molecule (see Overall remarks, attachments).
For detailed information on the results please refer to the attached report.
The estimated Log Pow was 17.83.
Based on such high estimation, a value of > 10 is considered as a reasonable estimation for the evaluated molecule (see Overall remarks, attachments).
For detailed information on the results please refer to the attached report.
The estimated Log Pow was 26.97.
Based on such high estimation, a value of > 10 is considered as a reasonable estimation for the evaluated molecule (see Overall remarks, attachments).
For detailed information on the results please refer to the attached report.
The estimated Log Pow was 28.25.
Based on such high estimation, a value of > 10 is considered as a reasonable estimation for the evaluated molecule (see Overall remarks, attachments).
For detailed information on the results please refer to the attached report.
Description of key information
log Pow 5.04 to 8.31 for representative monoester constituents
log Pow > 10 for representative diester and triester constituents
(QSAR, VEGA v1.1.3 and v1.1.4 - two models: Meylan/Kowwin v1.1.4, ALogP v1.0.0)
Key value for chemical safety assessment
Additional information
Overall results
For the five evaluated constituents of the substance, the Log Pow values as estimated by the VEGA/ALogP and VEGA/Meylan-Kowwin /physico-chemical models are reported.
Evaluation of |
Experimental Log Pow |
VEGA / ALogP |
VEGA / Meylan-KOWWIN |
| C18 monoester | n.a. | 5.72 | 5.04 |
| C18 diester | n.a. | 13.6 | 13.9 |
| C22 monoester isosorbide | n.a. | 8.31 | 8.15 |
| C22 diester | n.a. | 17.25 | 17.83 |
| C 22 triester | n.a. | 26.97 | 28.25 |
n.a. = not available
Discussion
The applicability domain (AD) evaluation performed by the VEGA software suggests that the three representative components of the substance could be out of the models’ AD. The similarity of the two most similar substances identified by VEGA is low; the evaluation of the performances of Meylan and ALogP models of these molecules is therefore deemed to be not useful to support the predicted values for the target ones.
The five target molecules are characterized by very long carbon chains and high molecular weights (> 400). Based on these characteristics high Log Pow values could be expected. The models provided similar estimations for the five components, with Log Pow values always > 10 for diesters and triesters, and log Pow values from 5.04 to 8.31 for monoesters.
Conclusion
Based on the above results and considerations, a Log Pow > 5.04 can be safely estimated for the target substance.
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