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: | sc50 | |
|---|---|---|
| Name: | Glipizide | |
| Description: | ||
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C21H27N5O4S/c1-15-13-24-19(14-23-15)20(27)22-12-11-16-7-9-18(10-8-16)31(29,30)26-21(28)25-17-5-3-2-4-6-17/h7-10,13-14,17H,2-6,11-12H2,1H3,(H,22,27)(H2,25,26,28) |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -5.61 |
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 |
| -3.916 |
M1: Model with Dragon descriptors from training set 1 (Tight test set) |
| -3.916 |
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 |
|---|---|
| -5.61 |
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 |
| -4.287 |
M2: Model with RDKit descriptors from training set 2 (Tight test set) |
| -4.287 |
M2: Model with RDKit descriptors from training set 2 (Test sets together) |
| -5.45 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Tight test set) |
| -5.45 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Test sets together) |
| -4.551 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Tight test set) |
| -4.551 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Test sets together) |