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:sc4
Name:Ambroxol
Description:
Labels:
CAS:
InChi Code:InChI=1/C13H18Br2N2O/c14-9-5-8(13(16)12(15)6-9)7-17-10-1-3-11(18)4-2-10/h5-6,10-11,17-18H,1-4,7,16H2/t10-,11-

Properties

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

ValueSource or prediction
-3.87

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

-2.901

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

-2.901

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
-3.87

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

-4.034

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

-4.034

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

-3.728

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

-3.728

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

-3.554

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

-3.554

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