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: | t21 | |
|---|---|---|
| Name: | Sulfamethazine | |
| Description: | ||
| Labels: | ||
| CAS: | 57-68-1 | |
| InChi Code: | InChI=1S/C12H14N4O2S/c1-8-7-9(2)15-12(14-8)16-19(17,18)11-5-3-10(13)4-6-11/h3-7H,13H2,1-2H3,(H,14,15,16) |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -2.73 |
Avdeef, A. Multi-lab intrinsic solubility measurement reproducibility in CheqSol and shake-flask methods. ADMET DMPK 2019, 7, 210–219. https://doi.org/http://doi.org/10.5599/admet.698 |
| -3.515 |
M1: Model with Dragon descriptors from training set 1 (Training set) |
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -2.73 |
experimental value |
| -3.241 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -3.21 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -3.322 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |