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: | sc10 | |
|---|---|---|
| Name: | Benzthiazide | |
| Description: | ||
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C15H14ClN3O4S3/c16-11-6-12-14(7-13(11)25(17,20)21)26(22,23)19-15(18-12)9-24-8-10-4-2-1-3-5-10/h1-7H,8-9H2,(H,18,19)(H2,17,20,21) |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -4.84 |
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 |
| -4.606 |
M1: Model with Dragon descriptors from training set 1 (Tight test set) |
| -4.606 |
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 |
|---|---|
| -4.84 |
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 |
| -4.236 |
M2: Model with RDKit descriptors from training set 2 (Tight test set) |
| -4.236 |
M2: Model with RDKit descriptors from training set 2 (Test sets together) |
| -4.777 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Tight test set) |
| -4.777 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Test sets together) |
| -4.54 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Tight test set) |
| -4.54 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Test sets together) |