10967/206 - QDB Compounds

QsarDB Repository

Oja, M.; Sild, S.; Maran, U. Logistic Classification Models for pH-Permeability Profile: Predicting Permeability Classes for the Biopharmaceutical Classification System. J. Chem. Inf. Model. 2019, 59, 2442-2455.

Compound

ID:M081
Name:Lamivudine
Description:
Labels:
CAS:134678-17-4
InChi Code:InChI=1S/C8H11N3O3S/c9-5-1-2-11(8(13)10-5)6-4-15-7(3-12)14-6/h1-2,6-7,12H,3-4H2,(H2,9,10,13)/t6-,7+/m0/s1

Properties

Class_pH3: Class of membrane permeability at pH 3 i

ValueSource or prediction
L

experimental value

L

M1: Model at pH 3 with hydrophobicity descriptor (Validation set)

L

M7: Model at pH 3 with theoretical molecular descriptors (Validation set)

Class_pH5: Class of membrane permeability at pH 5 i

ValueSource or prediction
L

experimental value

L

M2: Model at pH 5 with hydrophobicity descriptor (Validation set)

L

M8: Model at pH 5 with theoretical molecular descriptors (Validation set)

Class_pH7.4: Class of membrane permeability at pH 7.4 i

ValueSource or prediction
L

experimental value

L

M3: Model at pH 7.4 with hydrophobicity descriptor (Training set)

L

M9: Model at pH 7.4 with theoretical molecular descriptors (Training set)

Class_pH9: Class of membrane permeability at pH 9 i

ValueSource or prediction
L

experimental value

L

M4: Model at pH 9 with hydrophobicity descriptor (Training set)

L

M10: Model at pH 9 with theoretical molecular descriptors (Training set)

Class_highest: Class of highest membrane permeability for pH range 3 to 9 i

ValueSource or prediction
L

experimental value

L

M5: Model for highest membrane permeability with hydrophobicity descriptor (Training set)

L

M11: Model for highest membrane permeability with theoretical molecular descriptors (Training set)

Class_logPo: Class of intrinsic membrane permeability i

ValueSource or prediction
L

experimental value

L

M6: Model for intrinsic membrane permeability (logPo) with hydrophobicity descriptor (Training set)

L

M12: Model for intrinsic membrane permeability (logPo) with theoretical molecular descriptors (Training set)