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: | t259 | |
|---|---|---|
| Name: | cefamandole | |
| Description: | ||
| Labels: | ||
| CAS: | 34444-01-4 | |
| InChi Code: | InChI=1S/C18H18N6O5S2/c1-23-18(20-21-22-23)31-8-10-7-30-16-11(15(27)24(16)12(10)17(28)29)19-14(26)13(25)9-5-3-2-4-6-9/h2-6,11,13,16,25H,7-8H2,1H3,(H,19,26)(H,28,29)/t11-,13-,16-/m1/s1 |
Properties
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -0.14 |
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 |
| -2.669 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -3.184 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -3.083 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |