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: | sc22 | |
|---|---|---|
| Name: | Cilostazol | |
| Description: | ||
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C20H27N5O2/c26-20-12-9-15-14-17(10-11-18(15)21-20)27-13-5-4-8-19-22-23-24-25(19)16-6-2-1-3-7-16/h10-11,14,16H,1-9,12-13H2,(H,21,26) |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -4.93 |
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 |
| -4.159 |
M1: Model with Dragon descriptors from training set 1 (Tight test set) |
| -4.159 |
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 |
|---|---|
| -4.93 |
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 |
| -4.663 |
M2: Model with RDKit descriptors from training set 2 (Tight test set) |
| -4.663 |
M2: Model with RDKit descriptors from training set 2 (Test sets together) |
| -4.456 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Tight test set) |
| -4.456 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Test sets together) |
| -4.426 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Tight test set) |
| -4.426 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Test sets together) |