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:sc18
Name:Celecoxib
Description:
Labels:
CAS:
InChi Code:InChI=1S/C17H14F3N3O2S/c1-11-2-4-12(5-3-11)15-10-16(17(18,19)20)22-23(15)13-6-8-14(9-7-13)26(21,24)25/h2-10H,1H3,(H2,21,24,25)

Properties

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

ValueSource or prediction
-5.89

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

-5.817

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

-5.817

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
-5.89

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

-4.639

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

-4.639

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

-4.772

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

-4.772

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

-5.076

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

-5.076

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