Registration Dossier

Data platform availability banner - registered substances factsheets

Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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

Endpoint:
basic toxicokinetics
Type of information:
(Q)SAR
Adequacy of study:
key study
Reliability:
2 (reliable with restrictions)
Justification for type of information:
QSAR prediction: migrated from IUCLID 5.6

Data source

Referenceopen allclose all

Reference Type:
publication
Title:
In silicon models for the prediction of dose-dependent human hepatotoxicity
Author:
Ailan Cheng, Steven L. Dixon
Year:
2003
Bibliographic source:
Journal of Computer-Aided Molecular Design
Reference Type:
publication
Title:
Investigation of classification methods for the prediction of activity in diverse chemical libraries
Author:
Steven L. Dixon, Hugo O. Villar
Year:
1999
Bibliographic source:
Journal of Computer-Aided Molecular Design
Reference Type:
publication
Title:
Predicting the Genotoxicity of Secondary and Aromatic Amines Using Data Subsetting To Generate a Model Ensemble
Author:
Brian E. Mattioni, Gregory W. Kauffman, Peter C. Jurs
Year:
2003
Bibliographic source:
Journal of Chemical Information and Computer Science
Reference Type:
publication
Title:
Prediction of Aqueous Solubility of a Diverse Set of Compounds Using Quantitative Structure-Property Relationships
Author:
Ailan Cheng, Kenneth M.Merz, Jr.
Year:
2003
Bibliographic source:
Journal of Medicinal Chemistry
Reference Type:
publication
Title:
One-Dimensional Molecular Representations and Similarity Calculations: Methodology and Validation
Author:
Steven L. Dixon, Kenneth M. Merz, Jr.
Year:
2001
Bibliographic source:
Journal of Medicinal Chemistry
Reference Type:
publication
Title:
Prediction of Drug Absorption Using Multivariate Statistics
Author:
William J. Egan, Kenneth M. Merz, Jr., John J.Baldwin
Year:
2000
Bibliographic source:
Journal of Medicinal Chemistry
Reference Type:
publication
Title:
Use of Robust Classification Techniques for the Prediction of Human Cytochrome P450 2D6 Inhibition
Author:
Roberta G. Susnow, Steven L. Dixon
Year:
2003
Bibliographic source:
Journal of Chemistry Information and Computer Science

Materials and methods

Test guideline
Qualifier:
according to guideline
Guideline:
other: REACH guidance on QSARs R.7c, May/July 2008
GLP compliance:
not specified

Test material

Constituent 1
Chemical structure
Reference substance name:
2-methyl-1-(4-methylthiophenyl)-2-morpholinopropan-1-one
EC Number:
400-600-6
EC Name:
2-methyl-1-(4-methylthiophenyl)-2-morpholinopropan-1-one
Cas Number:
71868-10-5
Molecular formula:
C15H21NO2S
IUPAC Name:
2-methyl-1-[4-(methylsulfanyl)phenyl]-2-(morpholin-4-yl)propan-1-one
Details on test material:
CC(N1CCOCC1)(C)C(C2=CC=C(SC)C=C2)=O
Both descriptors of AlogP value of 2.601 and PSA value of 29.583 were used for the ADME descriptors model.

Results and discussion

Toxicokinetic / pharmacokinetic studies

Details on absorption:
The substance has a good human intestine absorption or respiration tract absorption.
The physico-chemical properties of the substance are listed as follows: water solubility is 17.9mg/L, logP is 3.09, MW is 279.40g/mol, and its particle size distribution is from approximately 0.3 microm to 125 microm, Mass Median Diameter is 22.1microm. It is concluded from the above that the substance has good human intestine absorption or respiration tract absorption.
Details on distribution in tissues:
The substance has a lower volume of distribution in the human body with the plasma protein binding more than 95%, which has less capability of distributing in tissues in body.
Transfer into organs
Test no.:
#1
Transfer type:
blood/brain barrier
Observation:
distinct transfer
Details on excretion:
This compound may be favourable for urinary excretion due to its low molecular weight (below 300), good water solubility.

Metabolite characterisation studies

Metabolites identified:
no
Details on metabolites:
The substance is unlikely to cause dose-dependent liver injuries and may not be metabolized in liver.

Any other information on results incl. tables

validity of model:

1. Defined endpoint: Toxicokinetics

2. Unambiguous algorithm:

(1)Absorption: Pattern recognition model

(2)Aqueous Solubility: Multiple linear regressions and genetic algorithms were used to develop the models. 

log(Sw)=-0.7325*<AlogP98>-0.4985*<HBD>*<HBA>-0.5172*<Zagreb>-0.0780*<S_aaaC>+0.1596*<Rotlbonds>+ 0.2057*<HBD>+0.1834*<S_sOH>+ 0.2539*<Wiener>

(3)Blood Brain Barrier: A regression model to predict logBB values was derived from a training set of 102 compounds and a test set of 86 compounds.

(4)Plasma Protein Binding: Predictions are based on the similarity between the candidate molecule and two sets of marker molecules

(5)CYP2D6 Binding: an ensemble recursive partitioning model

(6) Hepatotoxicity: an ensemble recursive partitioning model.

3. Applicability domain: For small molecules, particularly the MW<500.

4. Statistics characteristics:

(1)Absorption:The correct predictivity about the external validation are as follows: (1)Physician’s Desk Reference (PDR): 87.4% of 438 orally delivered compounds; (2) World Drug Index: 82.9% of 8504 with USAN or INN; (3) Comprehensive Medicinal Chemistry: 83.5% of 5836 filtered by class; (4) Pharmacopeia’s Caco-2 data (446 compounds with low, moderate, and high permeability (i.e., Papp), used in many PCOP Labs collaborative projects): a) Moderate/High Papp: 91.5% of compounds lie within 99% ellipse; b) Low Papp: 20.6% of compounds lie within 95% ellipse.

(2)Aqueous Solubility:The test set consisted of 34 compounds, and the regression statistics are R2=0.88 and standard deviation=0.79. A validation test consisting of 1615 compounds from the PDR, Comprehensive Medicinal Chemistry database (CMC), and other sources was also performed. Results yield and overall RMSE (SD) of 1.0.

(3)Blood Brain Barrier: Further testing against a collection of 124 compounds with known logBB values yielded an R2=0.889 and SD=0.306.

(4)Plasma Protein Binding: N/A

(5)CYP2D6 Binding:True Positive = 10/10, Sensitivity = 100%; True Negative = 31/41, Specificity = 76%; Total accuracy=41/51, Q=80%.

(6)Hepatotoxicity: True Positive = 16/23, Sensitivity = 70%; True Negative = 28/31, Specificity = 90%; Total accuracy=44/54, Q=81%. t hepatotoxicity.

5. Mechanistic interpretation: These admet descriptors model maily related the descriptors AlogP and polar surface area.

Applicant's summary and conclusion

Conclusions:
The substance 2-methyl-1-(4-methylthiophenyl)-2-morpholinopropan-1-one was predicted to has no bioaccumulation potential. The prediction of submodels are listed as follows:
The HIA model indicate that the substance has a good human intestine absorption. The model of plasma protein binding and another blood brain barrier indicate that the substance has a lower volume of distribution in the human body and can across blood-brain barrier and access to central nervous system. The substance is unlikely to cause dose-dependent liver injuries and may not be metabolized in liver as a result of the hepatotoxicity model and CYP2D6 inhibitor model. Because of its lower molecular weight and good water solubility, the substance is favourable for urinary excretion.