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:sc45
Name:Fenbufen
Description:
Labels:
CAS:
InChi Code:InChI=1S/C16H14O3/c17-15(10-11-16(18)19)14-8-6-13(7-9-14)12-4-2-1-3-5-12/h1-9H,10-11H2,(H,18,19)

Properties

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

ValueSource or prediction
-5.18

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. https://doi.org/http://doi.org/10.5599/admet.766

-3.43

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

-3.43

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
-5.18

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. https://doi.org/http://doi.org/10.5599/admet.766

-4.151

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

-4.151

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

-3.774

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

-3.774

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

-3.785

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

-3.785

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