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: | t334 | |
|---|---|---|
| Name: | naloxone | |
| Description: | ||
| Labels: | ||
| CAS: | 465-65-6 | |
| InChi Code: | InChI=1S/C19H21NO4/c1-2-8-20-9-7-18-15-11-3-4-12(21)16(15)24-17(18)13(22)5-6-19(18,23)14(20)10-11/h2-4,14,17,21,23H,1,5-10H2/t14-,17+,18+,19-/m1/s1 |
Properties
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -2.9 |
Llinàs, A.; Glen, R. C.; Goodman, J. M. Solubility challenge: can you predict solubilities of 32 molecules using a database of 100 reliable measurements?. J. Chem. Inf. Model. 2008, 48, 1289–1303. https://doi.org/https://doi.org/10.1021/ci800058v |
| -2.627 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -2.689 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -2.877 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |