ML-based ADMET prediction, drug-likeness, toxicity screening
Predict molecular ADMET properties using consensus ML models (ChemBERTa + ADMETlab) from SMILES or drug name
Find structurally similar approved drugs with known PK properties using MolFormer molecular fingerprints
Multi-model toxicity risk assessment combining ADMETlab, DeepChem, and structural alerts (PAINS/Brenk)
ML-based ADMET property prediction from SMILES or drug name via ADMETlab 3.0
Evaluate Lipinski, Veber, Egan, Ghose drug-likeness rules with QED and SA scores
Predict CYP1A2, 2C9, 2C19, 2D6, 3A4 inhibition and substrate status from molecular structure
Predict blood-brain barrier penetration probability and CNS MPO score
Predict hERG channel inhibition probability and QT prolongation risk from structure