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:sc109
Name:Curcumin
Description:
Labels:
CAS:
InChi Code:InChI=1S/C21H20O6/c1-26-20-11-14(5-9-18(20)24)3-7-16(22)13-17(23)8-4-15-6-10-19(25)21(12-15)27-2/h3-12,24-25H,13H2,1-2H3/b7-3+,8-4+

Properties

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

ValueSource or prediction
-5.36

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

-4.21

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

-4.21

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
-5.36

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

-4.767

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

-4.767

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

-4.934

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

-4.934

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

-4.637

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

-4.637

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