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: | t254 | |
|---|---|---|
| Name: | morphine | |
| Description: | ||
| Labels: | ||
| CAS: | 57-27-2 | |
| InChi Code: | InChI=1S/C17H19NO3/c1-18-7-6-17-10-3-5-13(20)16(17)21-15-12(19)4-2-9(14(15)17)8-11(10)18/h2-5,10-11,13,16,19-20H,6-8H2,1H3/t10-,11+,13-,16-,17-/m0/s1 |
Properties
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -3.28 |
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. http://dx.doi.org/https://doi.org/10.1021/ci049909h |
| -2.256 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -2.427 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -2.599 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |