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EC number: 606-172-9 | CAS number: 1893-33-0
- 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
Carcinogenicity in rat and mouse (male and female) was estimated by using two predictors: ACD/Percepta and Leadscope Model Applier.
Key value for chemical safety assessment
Justification for classification or non-classification
Based on the weight of evidence assessments, the target was predicted with borderline reliability as negative for carcinogenicity on both mouse and rat, leading to an overall borderline reliable negative prediction of carcinogenicity.
Additional information
ACD/Percepta did not provide any predictions for carcinogenicity in rat and in mouse female since the target compound resulted out of the applicability domain of the two models
For carcinogenicity in mouse maleit provided a negative prediction, with positive prediction probability equal to 0.11. The prediction was assessed as borderline reliable being the reliability index equal to 0.40. ACD/Percepta displays up to 5 most structurally similar structures from the training set along with their experimental test results. The information on the structurally similar compounds in the training set was used to further assess the reliability of the prediction. Five compounds were identified as analogues of Pipamperone. These training compounds exhibit moderate similarity with respect to Pipamperone (similarity index ranging from 0.63 to 0.67), meaning that the target compound is moderately represented in the training set of the model, and experimental consistent negative test results. These considerations further supported the reliability of the negative prediction
Leadscope FDA Model Applier prediction for carcinogenicity in rat (both males and females) resulted to be negative, since the positive prediction probability was equal to 0.01 (male) and 0.23 (female). Since at least twenty-two features were found, it was concluded that Pipamperone is well represented by the models. Additionally, all the identified features are mainly represented in negative training compounds. The robustness of the prediction was further evaluated by examining compounds similar to the target from the training set. While this information does not take part to the prediction, it provides the complementary means to see how similar compounds were predicted and what the experimental values of similar compounds are. Two compounds from the training set ofCar Rat Malemodel andCar Rat Femalemodel were identified as analogues to Pipamperone (similarity > 30%), however they exhibit little similarity with respect to Pipamperone (similarity < 50%). Based on this consideration, the negative predictions were assessed as borderline reliable.
Leadscope FDA Model Applier prediction for carcinogenicity in mouse (both males and females)resulted to be negative, since the positive prediction probability was equal to 0.08 (male) and 0.14 (female). Since at least twenty-two features were found, it was concluded that Pipamperone is well represented by the models.Additionally, all the identified features are mainly represented in negative training compounds.The robustness of the prediction was further evaluated by examining compounds similar to the target from the training set.While this information does not take part to the prediction, it provides the complementary means to see how similar compounds were predicted and what the experimental values of similar compounds are.
Two compounds from the training set ofCar Mouse Malemodel andCar Mouse Femalemodel were identified as analogues to Pipamperone (similarity > 30%), however they exhibit little similarity with respect to Pipamperone (similarity < 50%).Based on this consideration, the negative predictions were assessed as borderline reliable.
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