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: | t84 | |
|---|---|---|
| Name: | ethinylestradiol | |
| Description: | ||
| Labels: | ||
| CAS: | 57-63-6 | |
| InChi Code: | InChI=1S/C20H24O2/c1-3-20(22)11-9-18-17-6-4-13-12-14(21)5-7-15(13)16(17)8-10-19(18,20)2/h1,5,7,12,16-18,21-22H,4,6,8-11H2,2H3/t16-,17-,18+,19+,20+/m1/s1 |
Properties
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -3.95 |
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 |
| -4.099 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -4.773 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -4.639 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |