ADMET-AI
Predict ADMET properties for compound libraries
ADMET-AI predicts absorption, distribution, metabolism, excretion and toxicity properties for compound libraries using machine learning models trained on curated datasets. Inputs are SMILES lists and outputs are per-compound ADMET profiles ranked and filterable in tables. Standard for triaging libraries before synthesis or screening.
ADMET-AI is live on MolPilot — paste a sequence and press Fold.
At a glance
- Input
- Compound library (SMILES)
- Output
- ADMET profiles (CSV)
- Developed by
- Stanford University
- Published
- Swanson et al., 2024 · 2024
#admet#property-prediction#drug-likeness
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