ribesstefano/PROTAC-Degradation-Predictor
Predicting PROTAC protein degradation activity via machine learning.
This tool helps drug discovery researchers and medicinal chemists quickly assess if a PROTAC molecule will be active in degrading a target protein. You provide the chemical structure (SMILES string) of a PROTAC, the E3 ligase it uses, the target protein's UniProt ID, and the cell line. The tool then tells you if that PROTAC is predicted to be active or inactive.
No commits in the last 6 months.
Use this if you need to rapidly screen and prioritize potential PROTAC drug candidates by predicting their degradation activity before costly and time-consuming lab experiments.
Not ideal if you need to predict precise degradation rates or delve into the detailed mechanism of action beyond a simple active/inactive classification.
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15
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3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ribesstefano/PROTAC-Degradation-Predictor"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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