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: | t3 | |
|---|---|---|
| Name: | Bifonazole | |
| Description: | ||
| Labels: | ||
| CAS: | 60628-96-8 | |
| InChi Code: | InChI=1/C22H18N2/c1-3-7-18(8-4-1)19-11-13-21(14-12-19)22(24-16-15-23-17-24)20-9-5-2-6-10-20/h1-17,22H |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -6.01 |
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 |
| -5.328 |
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 |
|---|---|
| -6.01 |
experimental value |
| -5.06 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -4.942 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -5.11 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |