Published June 24, 2026 | Version v2

Dataset for: Multi-objective VHH discovery through integrated high-throughput screening and AlphaFold3-guided structural prioritisation

Authors/Creators

  • 1. ROR icon Technical University of Denmark

Description

structures.tar.xz contains AlphaFold3 predictions output files for all predicted complexes.

combined_data.xlsx contains four sheets:

  1.  all VHH sequences obtained from deep sequencing, annotated with the corresponding yeast display population;
  2. all VHH s for which AlphaFold 3 complex predictions were generated with one or more toxins. For each VHH-toxin pair, the table reports ipTM and pTM scores from the top-ranked model; entries are NA where a given VHH was not predicted against that toxin;
  3. all VHH s tested in the split-luciferase assay, including ipTM values for each target (αCbtx, αBgtx, cLNTx) and both raw and processed expression and binding measurements;
  4. split-luciferase binding and expression data for CamSol- and structural-evolution designed VHH variants, together with their corresponding wild-type sequences.
code.zip contains the analysis code used to produce the figures in the manuscript:

-  notebooks/ — one Jupyter notebook per pipeline stage / figure group;
-  SRC/ — standalone CLI script for AF3 output preprocessing;
- results/ — the input/output data each notebook reads/writes, so notebooks run end-to-end.

 

Files

code.zip

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