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Diss Factsheets
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EC number: 939-875-7 | CAS number: -
- 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
Genetic toxicity: in vivo
Administrative data
- Endpoint:
- in vivo mammalian somatic cell study: cytogenicity / erythrocyte micronucleus
- Remarks:
- Type of genotoxicity: chromosome aberration
- Type of information:
- (Q)SAR
- Adequacy of study:
- supporting study
- Reliability:
- 2 (reliable with restrictions)
- Justification for type of information:
- QSAR prediction: migrated from IUCLID 5.6
Data source
Materials and methods
- Principles of method if other than guideline:
- Several computational tools are nowadays available for applying in silico approaches. Among them, for QSAR predictions the following were selected and used:
1. ACD/Percepta for the prediction of acute oral toxicity, skin and eye irritation, gene mutation (Ames test), micronucleus in vivo (rodent), carcinogenicity rat and mouse composite, acute aquatic toxicity (Daphnia), octanol-water partition coefficient (logKow)
2. Leadscope for the prediction of gene mutation (Ames test), chromosome aberration in vivo (rat and other rodent), micronucleus in vivo (mouse and rodent), carcinogenicity mouse and rat composite.
3. Toxtree for the prediction of skin and eye irritation, skin sensitization, gene mutation (Ames test), micronucleus in vivo (rodent) and biodegradation (ready) - GLP compliance:
- no
- Type of assay:
- micronucleus assay
Test animals
- Species:
- other: rodent
- Strain:
- not specified
- Sex:
- not specified
Results and discussion
Test results
- Sex:
- not specified
- Genotoxicity:
- positive
- Remarks:
- worst case scenarius
- Toxicity:
- not specified
Any other information on results incl. tables
ACD/Percepta
ACD/Percepta micronucleus in vivo rodent prediction for 1-(4-(2-(benzyloxy)ethoxy)phenyl)-1,2-diphenylbutane-1,4-diol resulted to be undefined. In fact, the prediction is borderline reliable, being the reliability index equal to 0.40.
Together with the prediction, Percepta displays up to 5 most structurally similar structures from the training set along with experimental micronucleus in vivo rodent results for the corresponding compounds. The structural similarity is evaluated by a fragmental approach. The information on the structurally similar compounds in the training set is used to further assess the reliability of the prediction, since it illustrates how the test compound, i.e. 1-(4-(2-(benzyloxy)ethoxy)phenyl)-1,2-diphenylbutane-1,4-diol, is represented in the training set. This analysis can also help to better understand the reliability index value.
The five most similar structures from the training set were identified along with their micronucleus in vivo rodent data, as illustrated in below. It has to be noted that they exhibit moderate similarity, with a similarity index lower than 0.7.
Salmeterol
RN: 89365-50-4
Result: Negative
Similarity: 0.67
Bisphenol A diglycidyl
ether diacrylate
RN: 4687-94-9
Result: Negative
Similarity: 0.62
Bisopropol
RN: 66722-44-9
Result: Negative
Similarity: 0.62
Propafenone
RN: 64063-53-5
Result: Negative
Similarity: 0.60
Troxerutin
RN: 7085-55-4
Result: Negative
Similarity: 0.59
Leadscope Model Applier
Leadscope FDA Model Applier predicted 1-(4-(2-(benzyloxy)ethoxy)phenyl)-1,2-diphenylbutane-1,4-diol
negative, being the positive prediction probability equal to 0.12 and therefore under 0.5. The reliability of the
prediction is evaluated by two parameters:
Model Fragment Count. Parameter used to verify that the test compound contains a significant
number of fragments that are present in the prediction model. The prediction is reliable if at least one
model fragment is present in the test compound.
30% Similarity Training Neighbours Count. Number of compound structurally similar to the test
compound In the case of 1-(4-(2-(benzyloxy)ethoxy)phenyl)-1,2-diphenylbutane-1,4-diol, 7 fragments were found, and
only one similar structure was identified in the training set as analog to 1-(4-(2-(benzyloxy)ethoxy)phenyl)-
1,2-diphenylbutane-1,4-diol. The similar training structure, i.e. Bisoprolol, is characterized by a little
similarity with 1-(4-(2-(benzyloxy)ethoxy)phenyl)-1,2-diphenylbutane-1,4-diol; its experimental data is
consistent with the prediction, being negative. Thus it was concluded that 1-(4-(2-
(benzyloxy)ethoxy)phenyl)-1,2-diphenylbutane-1,4-diol is predicted negative but the prediction has little
reliability, since only one training structure was identified as similar to 1-(4-(2-(benzyloxy)ethoxy)phenyl)-
1,2-diphenylbutane-1,4-diol and its similarity is little.
Toxtree
Toxtree predicts the positive or negative to micronucleus in vivo rodent according to decision rules based on
the identification of Structural Alerts (SA) for to micronucleus in vivo rodent, i.e. molecular functional
groups or substructures known to be linked to the mutagenicity activity of chemicals. As one or more SAs
embedded in a molecular structure are recognised, the system flags the potential mutagenicity of the
chemical. Toxtree identified in 1-(4-(2-(benzyloxy)ethoxy)phenyl)-1,2-diphenylbutane-1,4-diol the
Hacceptor-path3-Hacceptor micronucleous structural alert, leading to the conclusion that it is positive to
micronucleus in vivo roden. The Hacceptor-path3-Hacceptor alert explores the possibility that a chemical
interacts with DNA and/or proteins via non-covalent binding, such as DNA intercalation or groove-binding
(Snyder et al. 2006. Mutat. Res. 609, 47-59). Among the descriptors potentially accounting for non-covalent
interactions, the present molecular framework representing two bonded atoms connecting two H bond
acceptors (calculated with software Leadscope Enteprise 2.4.15-6) resulted in an increased
sensitivity/specificity for what concerns the Micronucleus training set.
In silico tool | Prediction | PositivePrediction probability | Applicability domain | Reliability assessment |
ACD/Percepta | Undefined | 0.17 | Reliability index (RI) = 0.40 | BORDERLINE |
Leadscope ModelApplier | NEGATIVE | 0.12 | Model Fragments Count = 730% Sim Training Neighbors Count = 1 | LITTLERELIABLE |
Toxtree | POSITIVE | Hacceptor-path3-Hacceptor | ||
CONSENSUS | POSITIVE (worst case scenario) |
Applicant's summary and conclusion
- Conclusions:
- Interpretation of results (migrated information): positive
The micronucleus in vivo rodent of 1-(4-(2-(benzyloxy)ethoxy)phenyl)-1,2-diphenylbutane-1,4-diol was predicted employing three in silico predictors: QSAR model as provided by ACD/Percepta and Leadscope Model applier and a decision rule system as provided by Toxtree. The different predictors were employed in order to apply a consensus analysis to enhance the reliability of the prediction. In the consensus assessment
only reliable predictions were taken into account and the worst case scenario was envisaged: thus, based on Toxtree identification of the Hacceptor-path3-Hacceptor structural alert for micronucleus in vivo rodent, it was concluded that 1-(4-(2-(benzyloxy)ethoxy)phenyl)-1,2-diphenylbutane-1,4-diol is positive on micronucleus in vivo rodent.
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