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: | v88 | |
|---|---|---|
| Name: | Strychnine | |
| Description: | ||
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C21H22N2O2/c24-18-10-16-19-13-9-17-21(6-7-22(17)11-12(13)5-8-25-16)14-3-1-2-4-15(14)23(18)20(19)21/h1-5,13,16-17,19-20H,6-11H2/t13-,16-,17-,19-,20-,21+/m0/s1 |
Properties
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -3.33 |
Boobier, S.; Osbourn, A.; Mitchell, J. B. O. Can human experts predict solubility better than computers?. J. Cheminform. 2017, 9, 63. http://dx.doi.org/https://doi.org/10.1186/s13321-017-0250-y |
| -2.68 |
M2: Model with RDKit descriptors from training set 2 (Validation set) |
| -2.762 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Validation set) |