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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.

The new ECHA CHEM database has been released by ECHA, and it now contains all REACH registration data. There are more details on the transition of ECHA's published data to ECHA CHEM here.

Diss Factsheets

Administrative data

Link to relevant study record(s)

Referenceopen allclose all

Endpoint:
basic toxicokinetics, other
Type of information:
(Q)SAR
Adequacy of study:
supporting study
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 limited documentation / justification
Justification for type of information:
1. SOFTWARE
admetSAR 2.0

2. MODEL (incl. version number)

Absorption:
Human intestinal absorption (HIA)
Human oral bioavailability (HOB)
Caco-2 permeability
Plasma protein binding (PPB)
P-glycoprotein substrate, inhibitor

Distribution:
Blood-brain barrier penetration (BBB)
Blood-placenta barrier (BPB)
Subcellular localzation

Metabolism:
Cytochrome P450 (CYP450) substrate, inhibitor
Substrate: CYP2C9, 2D6, 3A4
Inhibitor: CYP1A2, 2D6, 2C9, 2C19, 3A4

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
SMILES: C=CC1COC(=O)O1

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
[[Explain how the model fulfils the OECD principles for (Q)SAR model validation. Consider attaching the QMRF and/or QPRF or providing a link]
- Defined endpoint:

Absorption:
Human intestinal absorption (HIA)
Human oral bioavailability (HOB)
Caco-2 permeability
Plasma protein binding (PPB)
P-glycoprotein substrate, inhibitor

Distribution:
Blood-brain barrier penetration (BBB)
Blood-placenta barrier (BPB)
Subcellular localzation

Metabolism:
Cytochrome P450 (CYP450) substrate, inhibitor
Substrate: CYP2C9, 2D6, 3A4
Inhibitor: CYP1A2, 2D6, 2C9, 2C19, 3A4

- Unambiguous algorithm:
Please see the link: http://lmmd.ecust.edu.cn/admetsar2/about/models

- Defined domain of applicability:
Please see the attachment "admetSAR 2.0_supplementary_data.docx"

- Appropriate measures of goodness-of-fit and robustness and predictivity:
Please see the attachment "admetSAR 2.0_supplementary_data.docx"

- Mechanistic interpretation:
Please see the attachment "admetSAR 2.0_supplementary_data.docx"

5. APPLICABILITY DOMAIN
[Explain how the substance falls within the applicability domain of the model]
- Descriptor domain:
In admetSAR (version2), five physicochemical or topological properties are used to defined the applicability domain, which are molecular weight, AlogP, H-bond Acceptors, H-bond Donors and Rotatable Bonds. The molecular weight, AlogP, H-bond Acceptors, H-bond Donors and Rotatable Bonds of target chemical are 114.10, 0.70, 3, 0, 1, respectively.They are all fall within the applicability domain.

- Structural domain: N/A
- Mechanistic domain: N/A
- Similarity with analogues in the training set: N/A
- Other considerations (as appropriate): N/A

6. ADEQUACY OF THE RESULT
[Explain how the prediction fits the purpose of classification and labelling and/or risk assessment]

Executive summary:

































































































































ADMEProfilesPredicted resultsProbabilityInterpretation
AbsorptionHuman Intestinal Absorption+0.9939HIA+
 Human oral bioavailability+0.6143HOB+
 Caco-2-0.5306Caco2-
 P-glycoprotein inhibitior-0.9852Non-inhibitor
 P-glycoprotein substrate-0.9763Non-substrate
DistributionBlood Brain Barrier+0.7750BBB+
 Plasma protein binding26.4%-Plasma protein binding 26.4%
 Subcellular localzationMitochondria0.7600Mitochondria
MetabolismCYP1A2 inhibition-0.7519Non-inhibitor
 CYP2C19 inhibition-0.7920Non-inhibitor
 CYP2C9 inhibition-0.9309Non-inhibitor
 CYP2C9 substrate-0.6172Non-substrate
 CYP2D6 inhibition-0.8800Non-inhibitor
 CYP2D6 substrate-0.7507Non-substrate
 CYP3A4 inhibition-0.9452Non-inhibitor
 CYP3A4 substrate-0.6672Non-substrate
 CYP inhibitory promiscuity-0.8768Low CYP Inhibitory Promiscuity
Endpoint:
basic toxicokinetics, other
Type of information:
(Q)SAR
Adequacy of study:
key study
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 limited documentation / justification
Justification for type of information:
1. SOFTWARE
ADMETlab 2.0

2. MODEL (incl. version number)
ADMETlab 2.0

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
SMILES: O1C(=O)OC(C1)C=C

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
[[Explain how the model fulfils the OECD principles for (Q)SAR model validation. Consider attaching the QMRF and/or QPRF or providing a link]
- Defined endpoint:
1) Absorption:
Caco-2 Permeability, MDCK Permeability, Pgp-inhibitor, Pgp-substrate, HIA, F20%, F30%
2) Distribution:
PPB, VD, BBB Penetration, Fu
3) Metabolism:
CYP 1A2 / 2C19 / 2C9 / 2D6 / 3A4 inhibitor, CYP 1A2 / 2C19 /2C9 / 2D6 / 3A4 substrate
4) Excretion
CL, T1/2

- Unambiguous algorithm:
Multi-task graph attention (MGA) framework

- Defined domain of applicability:

- Appropriate measures of goodness-of-fit and robustness and predictivity:
Please see the attachment "ADMETlab 2.0_an integrated online platform for accurate and comprehensive predictions of ADMET properties" Table 1 and Table 2.

- Mechanistic interpretation:
Please see the attachment "ADMETlab 2.0_an integrated online platform for accurate and comprehensive predictions of ADMET properties"

5. APPLICABILITY DOMAIN
[Explain how the substance falls within the applicability domain of the model]
- Descriptor domain:
- Structural domain:
- Mechanistic domain:
- Similarity with analogues in the training set:
- Other considerations (as appropriate):

6. ADEQUACY OF THE RESULT
[Explain how the prediction fits the purpose of classification and labelling and/or risk assessment]
Specific details on test material used for the study:
SMILES: O1C(=O)OC(C1)C=C
Executive summary:

 













































































































































































ADMEProfilesPredicted resultsUnitInterpretation
AbsorptionPgp-inh0.0-Non-inhibitor
 Pgp-sub0.001-Non-substrate
 HIA0.004-The predicted human intestinal absorption is more than 30%.
 F(20%)0.038-The predicted human oral bioavailability is more than 20%.
 F(30%)0.949-The predicted human oral bioavailability is less than 30%.
 Caco-2-4.543log cm/sThe predicted Caco-2 permeability is excellent (> -5.15 log cm/s).
 MDCK0.00018cm/sThe predicted MDCK permeability is excellent (> 2E-05 cm/s).
DistributionBBB0.998-The predicted of BBB penetration is more than 0.1 cm/s (BBB+).
 PPB28.06%-The predicted Plasma protein binding is excellent (<= 90%).
 VD0.659L/kgThe predicted Volume Distribution is excellent (0.04-20 L/kg).
 Fu73.60%-The predicted Fraction unbound in plasms is > 20% (High Fu).
MetabolismCYP1A2-inh0.089-Non-inhibitor
 CYP1A2-sub0.298-Non-substrate
 CYP2C19-inh0.057-Non-inhibitor
 CYP2C19-sub0.645-Non-substrate
 CYP2C9-inh0.011-Non-inhibitor
 CYP2C9-sub0.152-Non-substrate
 CYP2D6-inh0.008-Non-inhibitor
 CYP2D6-sub0.611-Non-substrate
 CYP3A4-inh0.132-Non-inhibitor
 CYP3A4-sub0.314-Non-substrate
ExcretionCL8.31ml/min/kgThe clearance of target chemical is moderate clearance (5-15 ml/min/kg).
 T1/20.848-The predicted T1/2 > 3h

Description of key information

Key value for chemical safety assessment

Additional information