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:sc93
Name:Sulindac
Description:
Labels:
CAS:
InChi Code:InChI=1/C20H17FO3S/c1-12-17(9-13-3-6-15(7-4-13)25(2)24)16-8-5-14(21)10-19(16)18(12)11-20(22)23/h3-10H,11H2,1-2H3,(H,22,23)/b17-9-

Properties

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

ValueSource or prediction
-4.96

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

-4.668

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

-4.668

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
-4.96

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

-4.97

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

-4.97

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

-4.404

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

-4.404

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

-4.681

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

-4.681

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