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: | t174 | |
|---|---|---|
| Name: | cyclobarbital | |
| Description: | ||
| Labels: | ||
| CAS: | 52-31-3 | |
| InChi Code: | InChI=1S/C12H16N2O3/c1-2-12(8-6-4-3-5-7-8)9(15)13-11(17)14-10(12)16/h6H,2-5,7H2,1H3,(H2,13,14,15,16,17) |
Properties
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -2.12 |
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 |
| -2.671 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -2.759 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -2.578 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |