10967/257 - QDB Compounds

QsarDB Repository

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:sc128
Name:Sulfadimethoxine
Description:
Labels:
CAS:
InChi Code:InChI=1S/C12H14N4O4S/c1-19-11-7-10(14-12(15-11)20-2)16-21(17,18)9-5-3-8(13)4-6-9/h3-7H,13H2,1-2H3,(H,14,15,16)

Properties

logS0: Intrinsic aqueous solubility from single source [log(mol/L)]

ValueSource or prediction
-3.74

Avdeef, A. Prediction of aqueous intrinsic solubility of druglike molecules using Random Forest regression trained with Wiki-pS0 database. ADMET DMPK 2020, 8, 29–77. http://dx.doi.org/http://doi.org/10.5599/admet.766

-3.696

M1: Model with Dragon descriptors from training set 1 (Loose test set)

-3.696

M1: Model with Dragon descriptors from training set 1 (Test sets together)

logS0a: Intrinsic aqueous solubility from multiple sources [log(mol/L)]

ValueSource or prediction
-3.74

Avdeef, A. Prediction of aqueous intrinsic solubility of druglike molecules using Random Forest regression trained with Wiki-pS0 database. ADMET DMPK 2020, 8, 29–77. http://dx.doi.org/http://doi.org/10.5599/admet.766

-3.038

M2: Model with RDKit descriptors from training set 2 (Loose test set)

-3.038

M2: Model with RDKit descriptors from training set 2 (Test sets together)

-3.475

M3: Model with PaDEL and XLOGS descriptors from training set 2 (Loose test set)

-3.475

M3: Model with PaDEL and XLOGS descriptors from training set 2 (Test sets together)

-3.403

M_cons: Consensus model (average of predictions from M1, M2 and M3) (Loose test set)

-3.403

M_cons: Consensus model (average of predictions from M1, M2 and M3) (Test sets together)