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: | sc27 | |
|---|---|---|
| Name: | Cortisone Acetate | |
| Description: | ||
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C23H30O6/c1-13(24)29-12-19(27)23(28)9-7-17-16-5-4-14-10-15(25)6-8-21(14,2)20(16)18(26)11-22(17,23)3/h10,16-17,20,28H,4-9,11-12H2,1-3H3/t16-,17-,20+,21-,22-,23-/m0/s1 |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -4.22 |
Avdeef, A. Prediction of aqueous intrinsic solubility of druglike molecules using Random Forest regression trained with Wiki-pS0 database. ADMET DMPK 2020, 8, 29–77. http://dx.doi.org/http://doi.org/10.5599/admet.766 |
| -3.189 |
M1: Model with Dragon descriptors from training set 1 (Tight test set) |
| -3.189 |
M1: Model with Dragon descriptors from training set 1 (Test sets together) |
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -4.22 |
Avdeef, A. Prediction of aqueous intrinsic solubility of druglike molecules using Random Forest regression trained with Wiki-pS0 database. ADMET DMPK 2020, 8, 29–77. http://dx.doi.org/http://doi.org/10.5599/admet.766 |
| -4.158 |
M2: Model with RDKit descriptors from training set 2 (Tight test set) |
| -4.158 |
M2: Model with RDKit descriptors from training set 2 (Test sets together) |
| -2.965 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Tight test set) |
| -2.965 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Test sets together) |
| -3.437 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Tight test set) |
| -3.437 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Test sets together) |