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:sc38
Name:DOPA,L-
Description:
Labels:
CAS:
InChi Code:InChI=1S/C9H11NO4/c10-6(9(13)14)3-5-1-2-7(11)8(12)4-5/h1-2,4,6,11-12H,3,10H2,(H,13,14)/t6-/m0/s1

Properties

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

ValueSource or prediction
-1.76

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

-1.984

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

-1.984

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
-1.76

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

-2.128

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

-2.128

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

-0.767

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

-0.767

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

-1.626

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

-1.626

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