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: | t39 | |
|---|---|---|
| Name: | Enrofloxacin | |
| Description: | ||
| Labels: | ||
| CAS: | 93106-60-6 | |
| InChi Code: | InChI=1S/C19H22FN3O3/c1-2-21-5-7-22(8-6-21)17-10-16-13(9-15(17)20)18(24)14(19(25)26)11-23(16)12-3-4-12/h9-12H,2-8H2,1H3,(H,25,26) |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -3.18 |
Avdeef, A. Multi-lab intrinsic solubility measurement reproducibility in CheqSol and shake-flask methods. ADMET DMPK 2019, 7, 210–219. https://doi.org/http://doi.org/10.5599/admet.698 |
| -3.577 |
M1: Model with Dragon descriptors from training set 1 (Training set) |
logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -3.18 |
experimental value |
| -3.418 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -3.135 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -3.377 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |