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: | t109 | |
|---|---|---|
| Name: | 5,5-diallylbarbiturate | |
| Description: | ||
| Labels: | ||
| CAS: | 52-43-7 | |
| InChi Code: | InChI=1S/C10H12N2O3/c1-3-5-10(6-4-2)7(13)11-9(15)12-8(10)14/h3-4H,1-2,5-6H2,(H2,11,12,13,14,15) |
Properties
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -2.08 |
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 |
| -2.027 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -2.365 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -2.023 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |