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:sc71
Name:Oxyphenbutazone
Description:
Labels:
CAS:
InChi Code:InChI=1/C19H20N2O3/c1-2-3-9-17-18(23)20(14-7-5-4-6-8-14)21(19(17)24)15-10-12-16(22)13-11-15/h4-8,10-13,17,22H,2-3,9H2,1H3

Properties

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

ValueSource or prediction
-3.94

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

-4.167

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

-4.167

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
-3.94

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

-4.337

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

-4.337

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

-4.018

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

-4.018

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

-4.174

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

-4.174

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