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: | sc59 | |
|---|---|---|
| Name: | Metolazone | |
| Description: | ||
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1/C16H16ClN3O3S/c1-9-5-3-4-6-14(9)20-10(2)19-13-8-12(17)15(24(18,22)23)7-11(13)16(20)21/h3-8,10,19H,1-2H3,(H2,18,22,23) |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -3.88 |
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 |
| -4.306 |
M1: Model with Dragon descriptors from training set 1 (Tight test set) |
| -4.306 |
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 |
|---|---|
| -3.88 |
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 |
| -4.201 |
M2: Model with RDKit descriptors from training set 2 (Tight test set) |
| -4.201 |
M2: Model with RDKit descriptors from training set 2 (Test sets together) |
| -4.568 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Tight test set) |
| -4.568 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Test sets together) |
| -4.358 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Tight test set) |
| -4.358 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Test sets together) |