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EC number: 618-065-4 | CAS number: 877674-77-6
- Life Cycle description
- Uses advised against
- Endpoint summary
- Appearance / physical state / colour
- Melting point / freezing point
- Boiling point
- Density
- Particle size distribution (Granulometry)
- Vapour pressure
- Partition coefficient
- Water solubility
- Solubility in organic solvents / fat solubility
- Surface tension
- Flash point
- Auto flammability
- Flammability
- Explosiveness
- Oxidising properties
- Oxidation reduction potential
- Stability in organic solvents and identity of relevant degradation products
- Storage stability and reactivity towards container material
- Stability: thermal, sunlight, metals
- pH
- Dissociation constant
- Viscosity
- Additional physico-chemical information
- Additional physico-chemical properties of nanomaterials
- Nanomaterial agglomeration / aggregation
- Nanomaterial crystalline phase
- Nanomaterial crystallite and grain size
- Nanomaterial aspect ratio / shape
- Nanomaterial specific surface area
- Nanomaterial Zeta potential
- Nanomaterial surface chemistry
- Nanomaterial dustiness
- Nanomaterial porosity
- Nanomaterial pour density
- Nanomaterial photocatalytic activity
- Nanomaterial radical formation potential
- Nanomaterial catalytic activity
- Endpoint summary
- Stability
- Biodegradation
- Bioaccumulation
- Transport and distribution
- Environmental data
- Additional information on environmental fate and behaviour
- Ecotoxicological Summary
- Aquatic toxicity
- Endpoint summary
- Short-term toxicity to fish
- Long-term toxicity to fish
- Short-term toxicity to aquatic invertebrates
- Long-term toxicity to aquatic invertebrates
- Toxicity to aquatic algae and cyanobacteria
- Toxicity to aquatic plants other than algae
- Toxicity to microorganisms
- Endocrine disrupter testing in aquatic vertebrates – in vivo
- Toxicity to other aquatic organisms
- Sediment toxicity
- Terrestrial toxicity
- Biological effects monitoring
- Biotransformation and kinetics
- Additional ecotoxological information
- Toxicological Summary
- Toxicokinetics, metabolism and distribution
- Acute Toxicity
- Irritation / corrosion
- Sensitisation
- Repeated dose toxicity
- Genetic toxicity
- Carcinogenicity
- Toxicity to reproduction
- Specific investigations
- Exposure related observations in humans
- Toxic effects on livestock and pets
- Additional toxicological data

Skin sensitisation
Administrative data
- Endpoint:
- skin sensitisation, other
- 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:
- Vega
- Toxtree
- Derek Nexus
2. MODEL (incl. version number)
- Vega = Virtual models for evaluating the properties of chemicals within a global architecture - Ver 1.1.3
- Toxtree = Ideaconsult, version 2.6.13
- Derek Nexus Lhasa Limited
3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL:
O=C(N\C(=C/CCCCCl)C(=O)O)[C@H]1CC1(C)C
4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
These above mentioned tools were selected according to the OECD Guidance Documents on the Validation of (Q)SAR models:
- Document on the validation of (Quantitative) Structure Activity Relationship models. OECD Series on testing and Assessment N° 69. ENV/JM/MONO(2007)2.
- EnochSJ, Madden JC, Cronin MT (2008) Identification of mechanism of toxic action for skin sensitisation using a SMARTS pattern based approach, SAR QSAR Environ Res. 19(5-6):555-78
5. APPLICABILITY DOMAIN
- Vega: Applicability Domain Index (ADI) from 0 (not reliable) to 1( fully reliable)
- Toxtree: Based on Structural alerts (SA).
- Derek Nexus: The prediction is generated by applying expert knowledge rules in toxicology.
6. ADEQUACY OF THE RESULT
- Vega: Sensitizer with prediction: Low reliable.
- Toxtree: Identifies two alerts.
- Derek Nexus: Skin sensitisation is Plausible.
From the evaluation of the results of each software, the target compound was predicted to be a SENSITIZER for the skin and the final prediction was assessed as Moderate Reliable.
Data source
Reference
- Reference Type:
- other: In silico prediction
- Title:
- Unnamed
- Year:
- 2 017
- Report date:
- 2017
Materials and methods
Test guideline
- Qualifier:
- according to guideline
- Guideline:
- other: OECD Series on Testing and Assessment No 69
- Version / remarks:
- ENV/JM/MONO(2007)2
- Deviations:
- not specified
Test material
- Reference substance name:
- (2Z)-7-chloro-2-({[(1S)-2,2-dimethylcyclopropyl]carbonyl}amino)hept-2-enoic acid
- EC Number:
- 618-065-4
- Cas Number:
- 877674-77-6
- Molecular formula:
- C13H20ClNO3
- IUPAC Name:
- (2Z)-7-chloro-2-({[(1S)-2,2-dimethylcyclopropyl]carbonyl}amino)hept-2-enoic acid
Constituent 1
Results and discussion
In vitro / in chemico
Results
- Parameter:
- other: QSAR prediction
- Remarks:
- It's not a In vitro/In chemico study
- Remarks on result:
- other: QSAR prediction
- Remarks:
- Skin Sensitiser
In vivo (non-LLNA)
Results
- Reading:
- other: QSAR prediction-It's not an In vivo(non-LLNA) study
- Remarks on result:
- other: QSAR Prediction
- Remarks:
- Skin Sensitiser
In vivo (LLNA)
Results
- Parameter:
- other: QSAR prediction
- Remarks:
- It's not an In Vivo (LLNA)study
- Remarks on result:
- other: QSAR prediction
- Remarks:
- Skin Sensitiser
Any other information on results incl. tables
This study was designated to generate estimated "in silico" (non - testing) data to be used for the hazard assessment of the substance.
The table below shows the result obtained.
Endpoint: | Prediction call | Reliability Assessment |
SKIN SENSITISATION, LLNA | Skin Sensitizer | Moderate Reliable |
Applicant's summary and conclusion
- Interpretation of results:
- Category 1 (skin sensitising) based on GHS criteria
- Conclusions:
- SKIN SENSITISATION,LLNA:
-Prediction Call : Skin sensitizer;
-reliability Assessment: Moderate Reliable - Executive summary:
The skin sensitization of the target compound was predicted employing two different in silico approaches:
the QSAR statistical model as provided by Vega and the decision rule system provided by Toxtree and Derek
Nexus. The three predictors were employed in order to apply a weight of evidence (WoE) approach to enhance the reliability of the prediction. In the weight of evidence assessment only reliable predictions are to
be taken into account. In the case of the target (2Z)-7-chloro-2-({[(1S)-2,2-
dimethylcyclopropyl]carbonyl}amino)hept-2-enoic acid, Vega predicted the target compound as sensitizer
but the prediction was assessed as low reliable, Toxtree identified two alerts and Derek Nexus predicted the
skin sensitisation as PLAUSIBLE. Thus the target compound (2Z)-7-chloro-2-({[(1S)-2,2-
dimethylcyclopropyl]carbonyl}amino)hept-2-enoic acid was predicted as sensitizer for the skin and the
prediction was assessed as moderate reliable.
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