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: | t150 | |
|---|---|---|
| Name: | vinbarbital | |
| Description: | ||
| Labels: | ||
| CAS: | 125-42-8 | |
| InChi Code: | InChI=1S/C11H16N2O3/c1-4-6-7(3)11(5-2)8(14)12-10(16)13-9(11)15/h6H,4-5H2,1-3H3,(H2,12,13,14,15,16)/b7-6+ |
Properties
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -2.3 |
Bergström, C. A. S.; Wassvik, C. M.; Norinder, U.; Luthman, K.; Artursson, P. Global and local computational models for aqueous solubility prediction of drug-like molecules. J. Chem. Inf. Comput. Sci. 2004, 44, 1477–1488. https://doi.org/https://doi.org/10.1021/ci049909h |
| -2.548 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -3.279 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -2.669 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |