Table 2.

Following are the examples of ADMET properties that are modeled using Machine Learning algorithms:

Properties	Measurement
Solubility	Kinetic solubility
Clearance	Rodent in vivo—snapshot PK
Permeability	Caco-2, MDCK, PAMPA
Transporters such as P-gp	Transporters overexpressing cell lines
Metabolic stability	Liver microsomes and hepatocytes
Drug–drug interactions	CYP450s, transporters
Blood–brain barrier (BBB)	Mouse brain endothelial cell line
Cardiotoxicity (hERG)	Binding or flux in different cell types