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: | t95 | |
|---|---|---|
| Name: | methyltestosterone | |
| Description: | ||
| Labels: | ||
| CAS: | 58-18-4 | |
| InChi Code: | InChI=1S/C20H30O2/c1-18-9-6-14(21)12-13(18)4-5-15-16(18)7-10-19(2)17(15)8-11-20(19,3)22/h12,15-17,22H,4-11H2,1-3H3/t15-,16+,17+,18+,19+,20+/m1/s1 |
Properties
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -3.99 |
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. http://dx.doi.org/https://doi.org/10.1021/ci049909h |
| -4.604 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -4.103 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -4.139 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |