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: | sc67 | |
|---|---|---|
| Name: | Nortriptyline | |
| Description: | ||
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C19H21N/c1-20-14-6-11-19-17-9-4-2-7-15(17)12-13-16-8-3-5-10-18(16)19/h2-5,7-11,20H,6,12-14H2,1H3 |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -3.93 |
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 |
| -4.518 |
M1: Model with Dragon descriptors from training set 1 (Tight test set) |
| -4.518 |
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 |
|---|---|
| -3.93 |
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 |
| -3.808 |
M2: Model with RDKit descriptors from training set 2 (Tight test set) |
| -3.808 |
M2: Model with RDKit descriptors from training set 2 (Test sets together) |
| -4.799 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Tight test set) |
| -4.799 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Test sets together) |
| -4.375 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Tight test set) |
| -4.375 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Test sets together) |