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: | t2 | |
|---|---|---|
| Name: | Nitrofurantoin | |
| Description: | ||
| Labels: | ||
| CAS: | 67-20-9 | |
| InChi Code: | InChI=1S/C8H6N4O5/c13-6-4-11(8(14)10-6)9-3-5-1-2-7(17-5)12(15)16/h1-3H,4H2,(H,10,13,14) |
Properties
logS0: Intrinsic aqueous solubility from single source [log(mol/L)]
| Value | Source or prediction |
|---|---|
| -3.29 |
Avdeef, A. Multi-lab intrinsic solubility measurement reproducibility in CheqSol and shake-flask methods. ADMET DMPK 2019, 7, 210–219. http://dx.doi.org/http://doi.org/10.5599/admet.698 |
| -2.539 |
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 |
|---|---|
| -3.265 |
experimental value |
| -2.383 |
M2: Model with RDKit descriptors from training set 2 (Training set) |
| -1.924 |
M3: Model with PaDEL and XLOGS descriptors from training set 2 (Training set) |
| -2.282 |
M_cons: Consensus model (average of predictions from M1, M2 and M3) (Training set) |