Oja, M.; Sild, S.; Piir, G.; Maran, U. Intrinsic aqueous solubility: mechanistically transparent data-driven modeling of drug substances. Pharmaceutics 2022, 14, 2248.
Compound
| ID: | t17 | |
|---|---|---|
| Name: | Diethylstilbestrol | |
| Description: | ||
| Labels: | ||
| CAS: | 56-53-1 | |
| InChi Code: | InChI=1S/C18H20O2/c1-3-17(13-5-9-15(19)10-6-13)18(4-2)14-7-11-16(20)12-8-14/h5-12,19-20H,3-4H2,1-2H3/b18-17+ |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -4.43 |
Avdeef, A. Multi-lab intrinsic solubility measurement reproducibility in CheqSol and shake-flask methods. ADMET DMPK 2019, 7, 210–219. https://doi.org/http://doi.org/10.5599/admet.698 |
| -5.316 |
M1: Model with Dragon descriptors from training set 1 (Training set) |
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -4.43 |
experimental value |
| -5.132 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -5.809 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -5.419 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |