mnielLab/NetTCR-2.2
Sequence-based prediction of peptide-TCR interactions using paired chain data
This tool helps immunologists and biologists understand how T-cell Receptors (TCRs) interact with specific peptides. You provide the sequences of peptides and the six CDRs of TCRs as input, and it predicts whether they will bind. This is valuable for researchers studying immune responses, vaccine development, or personalized medicine.
Use this if you need to predict the binding specificity between T-cell Receptors and peptides, especially when working with multiple peptides or aiming for highly specific predictions.
Not ideal if you need to analyze data for commercial purposes without obtaining a separate license, as its use is restricted to academic and non-commercial applications.
Stars
13
Forks
6
Language
Python
License
—
Category
Last pushed
Feb 02, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mnielLab/NetTCR-2.2"
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