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: | sc35 | |
|---|---|---|
| Name: | Difloxacin | |
| Description: | ||
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C21H19F2N3O3/c1-24-6-8-25(9-7-24)19-11-18-15(10-17(19)23)20(27)16(21(28)29)12-26(18)14-4-2-13(22)3-5-14/h2-5,10-12H,6-9H2,1H3,(H,28,29) |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -3.83 |
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. https://doi.org/http://doi.org/10.5599/admet.766 |
| -4.464 |
M1: Model with Dragon descriptors from training set 1 (Tight test set) |
| -4.464 |
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 |
|---|---|
| -3.83 |
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. https://doi.org/http://doi.org/10.5599/admet.766 |
| -3.761 |
M2: Model with RDKit descriptors from training set 2 (Tight test set) |
| -3.761 |
M2: Model with RDKit descriptors from training set 2 (Test sets together) |
| -3.866 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Tight test set) |
| -3.866 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Test sets together) |
| -4.03 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Tight test set) |
| -4.03 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Test sets together) |