Analysis method
Compare predicted antibody viscosity
Classify paired heavy/light candidates with DeepViscosity and compare their predicted high-concentration viscosity risk.
Method details
Input checks
- Paired heavy and light protein sequences per row
- One frozen Selection or Dataset Version
- Up to 100 rows and 500 residues per sequence
Expected results
- Candidate classification — Compare predicted viscosity class across the selected antibody set.
- Ensemble probability — Review mean probability and variation across the model ensemble.
- Model input features — Inspect the physicochemical feature values used for each candidate.
Example results
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