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:sc51
Name:Griseofulvin
Description:
Labels:
CAS:
InChi Code:InChI=1S/C17H17ClO6/c1-8-5-9(19)6-12(23-4)17(8)16(20)13-10(21-2)7-11(22-3)14(18)15(13)24-17/h6-8H,5H2,1-4H3/t8-,17+/m1/s1

Properties

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

ValueSource or prediction
-4.52

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. https://doi.org/http://doi.org/10.5599/admet.766

-3.659

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

-3.659

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
-4.52

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. https://doi.org/http://doi.org/10.5599/admet.766

-3.926

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

-3.926

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

-3.777

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

-3.777

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

-3.787

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

-3.787

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