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: | t83 | |
|---|---|---|
| Name: | betamethasone | |
| Description: | ||
| Labels: | ||
| CAS: | 378-44-9 | |
| InChi Code: | InChI=1S/C22H29FO5/c1-12-8-16-15-5-4-13-9-14(25)6-7-19(13,2)21(15,23)17(26)10-20(16,3)22(12,28)18(27)11-24/h6-7,9,12,15-17,24,26,28H,4-5,8,10-11H2,1-3H3/t12-,15-,16-,17-,19-,20-,21-,22-/m0/s1 |
Properties
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -3.77 |
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 |
| -3.545 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -3.655 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -3.518 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |