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:sc117
Name:Iopanoic Acid
Description:
Labels:
CAS:
InChi Code:InChI=1/C11H12I3NO2/c1-2-5(11(16)17)3-6-7(12)4-8(13)10(15)9(6)14/h4-5H,2-3,15H2,1H3,(H,16,17)

Properties

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

ValueSource or prediction
-5.49

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

-3.831

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

-3.831

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
-5.49

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

-4.584

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

-4.584

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

-6.164

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

-6.164

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

-4.86

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

-4.86

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