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: | sc17 | |
|---|---|---|
| Name: | Cefprozil | |
| Description: | ||
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C18H19N3O5S/c1-2-3-10-8-27-17-13(16(24)21(17)14(10)18(25)26)20-15(23)12(19)9-4-6-11(22)7-5-9/h2-7,12-13,17,22H,8,19H2,1H3,(H,20,23)(H,25,26)/t12-,13-,17-/m1/s1 |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -1.68 |
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 |
| -3.096 |
M1: Model with Dragon descriptors from training set 1 (Tight test set) |
| -3.096 |
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 |
|---|---|
| -1.68 |
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 |
| -3.169 |
M2: Model with RDKit descriptors from training set 2 (Tight test set) |
| -3.169 |
M2: Model with RDKit descriptors from training set 2 (Test sets together) |
| -2.306 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Tight test set) |
| -2.306 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Test sets together) |
| -2.857 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Tight test set) |
| -2.857 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Test sets together) |