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:sc124
Name:Quinine
Description:
Labels:
CAS:
InChi Code:InChI=1S/C20H24N2O2/c1-3-13-12-22-9-7-14(13)10-19(22)20(23)16-6-8-21-18-5-4-15(24-2)11-17(16)18/h3-6,8,11,13-14,19-20,23H,1,7,9-10,12H2,2H3/t13-,14-,19-,20+/m0/s1

Properties

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

ValueSource or prediction
-3.06

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

-3.81

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

-3.81

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
-3.06

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

-3.811

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

-3.811

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

-3.516

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

-3.516

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

-3.712

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

-3.712

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