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Predict Properties
Enter SMILES to predict properties with ML.
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Absorption
v1
•
Predicts solubility (log mol/L) and oral bioavailability (F%)
Human Microsomal Clearance
v1
•
Predicts hepatic clearance (log10 μL/min/mg)
Drug Metabolizing Enzymes
v1
•
Predicts interactions with Cytochrome P450 and other metabolic enzymes.
Distribution
v2
•
Predicts BBB permeability, distribution volume, and protein binding.
Fraction Unbound (Brain, Plasma)
v1
•
Predicts the fraction of a compound not bound to proteins in brain tissue and plasma.
hERG
v2
•
Predicts pIC₅₀ and activity class for hERG inhibition
NaCa
v1
•
Predicts pIC₅₀ for NaV and CaV channel inhibition
Permeability
v2
•
Predicts permeability via Caco-2, MDCK, and PAMPA.
ADME
v2
•
Predicts ADME properties such as solubility, permeability, and hERG inhibition.
BiasNet
v1
•
Predicts GPCR signaling bias: G protein vs β-arrestin
Cell / Tissue
v1
•
Predicts cell/tissue response: none, low/medium, or high
Dog Microsomal Clearance
v1
•
Predicts hepatic clearance (log10 μL/min/mg)
Rat Microsomal Clearance
v1
•
Predicts hepatic clearance (log10 μL/min/mg)
KinasepKi
v1
•
Predicts kinase–ligand pKi from SMILES & sequence
LigandNet
v3
•
Predicts pIC₅₀ for diverse protein and cell line targets.
MolGpKa
v1
•
Predicts atomic pKa values and identifies acidic/basic sites
Subcellular Location
v1
•
Predicts subcellular localization (e.g., nucleus, cytoplasm, mitochondria) for small molecules
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