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NbForge

Predict nanobody structures with NbForge.

Results

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Inputs

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Method & evidence

Predict VHH coordinates and inspect residue confidence, sequence conservation, and backbone geometry.

Scope & limitations

  • NbForge predicts VHH structures only; it does not perform minimization or NbFrame scoring.

Interpreting results

  • Coordinates and confidence values are model predictions, not experimental structures or B-factors.
  • Inspect CDR3 and low-confidence regions before design decisions or experimental use.
  • Compare outputs only when checkpoint, sequence, and deterministic settings are identical.

References

Input requirements & outputs

Input checks

  • One or two rows per analysis
  • 80–180 unambiguous amino acids per VHH sequence
  • One frozen Selection or Dataset Version

Expected results

  • Predicted-structure Dataset — Compare source sequences, residue confidence, and structure links.
  • Sequence-conserving structures — Open complete single-chain VHH coordinates and inspect backbone geometry.
  • Residue confidence profile — Locate lower-confidence positions before using the model for design decisions.
API & integrations
Ubi Biologics