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: | t14 | |
|---|---|---|
| Name: | Alprenolol | |
| Description: | ||
| Labels: | ||
| CAS: | 13655-52-2 | |
| InChi Code: | InChI=1/C15H23NO2/c1-4-7-13-8-5-6-9-15(13)18-11-14(17)10-16-12(2)3/h4-6,8-9,12,14,16-17H,1,7,10-11H2,2-3H3 |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -2.66 |
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 |
| -2.39 |
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 |
|---|---|
| -2.825 |
experimental value |
| -2.876 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -3.164 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -2.81 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |