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: | t112 | |
|---|---|---|
| Name: | Perylene | |
| Description: | ||
| Labels: | ||
| CAS: | 198-55-0 | |
| InChi Code: | InChI=1S/C20H12/c1-5-13-6-2-11-17-18-12-4-8-14-7-3-10-16(20(14)18)15(9-1)19(13)17/h1-12H |
Properties
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -8.8 |
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 |
| -5.231 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -7.737 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -6.446 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |