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Diss Factsheets
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EC number: 610-513-7 | CAS number: 502421-44-5
- 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
Carcinogenicity
Administrative data
Description of key information
The conclusions were derived hased on the read across study and the QSAR predictions.
Key value for chemical safety assessment
Justification for classification or non-classification
Despite the QSAR Toolbox identification in the target chemical of the potentially hazardous carbamate group, the read across approach could be applied. The experimental test result of the source chemical was read-across to L-Valine, N-[(1,1-dimethylethoxy)carbonyl]-, 2-[(2-amino-1,6-dihydro-6-oxo-9H-purin-9-yl)methoxy]ethyl ester, concluding that L-Valine, N-[(1,1-dimethylethoxy)carbonyl]-, 2-[(2-amino-1,6-dihydro-6-oxo-9H-purin-9-yl)methoxy]ethyl ester is NOT CARCINOGEN. This conclusion was further confirmed by the QSAR predictions: the L-Valine, N-[(1,1-dimethylethoxy)carbonyl]-, 2-[(2-amino-1,6-dihydro-6-oxo-9H-purin-9-yl)methoxy]ethyl ester, was in fact, predicted negative for carcinogenicity on rat, both male and female. In addition, no alerts for non genotoxic carcinogenicity were identified and the only identified alert for genotoxic carcinogenicity was the alkyl carbamate, already commented for not being likely to cause genotoxic activity because of the presence of the protective tert-butyl group. Thus, it is finally concluded that L-Valine, N-[(1,1-dimethylethoxy)carbonyl]-, 2-[(2-amino-1,6-dihydro-6-oxo-9H-purin-9-yl)methoxy]ethyl ester is NOT CARCINOGENIC.
Additional information
Different in silico approaches were applied, including the read-across and QSAR models. In addition, different QSAR tools were used, when possible, in order to apply a consensus approach to enhance the reliability of the predictions. In fact, when multiple models and multiple approaches are combined in a consensus analysis, more accurate predictions can be achieved. In general, the consensus approach was performed according to the precautionary principle and weighting QSAR results more than the read-across results, since they are considered more reliable and scientifically robust.
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.
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