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: | t190 | |
|---|---|---|
| Name: | alprostadil | |
| Description: | ||
| Labels: | ||
| CAS: | 745-65-3 | |
| InChi Code: | InChI=1S/C20H34O5/c1-2-3-6-9-15(21)12-13-17-16(18(22)14-19(17)23)10-7-4-5-8-11-20(24)25/h12-13,15-17,19,21,23H,2-11,14H2,1H3,(H,24,25)/b13-12+/t15-,16+,17+,19+/m0/s1 |
Properties
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -3.67 |
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 |
| -4.886 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -3.863 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -3.796 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |