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: | t27 | |
|---|---|---|
| Name: | Phenobarbital | |
| Description: | ||
| Labels: | ||
| CAS: | 50-06-6 | |
| InChi Code: | InChI=1S/C12H12N2O3/c1-2-12(8-6-4-3-5-7-8)9(15)13-11(17)14-10(12)16/h3-7H,2H2,1H3,(H2,13,14,15,16,17) |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -2.29 |
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 |
| -2.523 |
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 |
|---|---|
| -2.3 |
experimental value |
| -2.204 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -2.91 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -2.546 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |