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:sc121
Name:Omeprazole
Description:
Labels:
CAS:
InChi Code:InChI=1/C17H19N3O3S/c1-10-8-18-15(11(2)16(10)23-4)9-24(21)17-19-13-6-5-12(22-3)7-14(13)20-17/h5-8H,9H2,1-4H3,(H,19,20)

Properties

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

ValueSource or prediction
-3.7

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

-4.476

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

-4.476

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
-3.7

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

-4.103

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

-4.103

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

-3.201

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

-3.201

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

-3.927

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

-3.927

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