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: | t185 | |
|---|---|---|
| Name: | secobarbital | |
| Description: | ||
| Labels: | ||
| CAS: | 76-73-3 | |
| InChi Code: | InChI=1/C12H18N2O3/c1-4-6-8(3)12(7-5-2)9(15)13-11(17)14-10(12)16/h5,8H,2,4,6-7H2,1,3H3,(H2,13,14,15,16,17) |
Properties
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -2.22 |
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 |
| -2.757 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -3.129 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -2.654 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |