Human Interleukin-6 Nanobody Interaction Dataset (AVIDa-hIL6)
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7 commits
1 linked in READMEs
updated Jun 5, 2025
AVIDa-hIL6 is an antigen-variable domain of heavy chain antibody (VHH) interaction dataset produced from an alpaca immunized with the human interleukin-6 (IL-6) protein. The dataset includes binary labels indicating the binding or non-binding of diverse VHH sequences to wild type and 30 mutants of the IL-6 protein.
This dataset enables the evaluation of computational models for predicting nanobody binding to different IL-6 protein variants, which is important for developing therapeutic antibodies against IL-6-related diseases and understanding antibody specificity.
The data was collected from experiments with an alpaca immunized with human IL-6 protein. Binding assays were conducted to determine whether specific VHH sequences bind to wild-type IL-6 and its mutant variants. Further details are described in the paper "AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions."
The dataset is strategically split into training, validation, and test sets to evaluate model generalization:
| Column | Description |
|---|---|
| VHH_sequence | Amino acid sequence of VHH |
| Ag_label | Antigen Type |
| label | Binary label represented by 1 for binding pair and 0 for non-binding pair |
| subject_species | Species of the subject from which VHH was collected |
| subject_name | Name of the subject from which VHH was collected |
| subject_sex | Sex of the subject from which VHH was collected |
precomputed antigen sequence embeddings through ESM-2 (650M)
Model performance is evaluated using:
Human Interleukin-6 Nanobody Interaction Dataset (AVIDa-hIL6)
0
7 commits
1 linked in READMEs
updated Jun 5, 2025
AVIDa-hIL6 is an antigen-variable domain of heavy chain antibody (VHH) interaction dataset produced from an alpaca immunized with the human interleukin-6 (IL-6) protein. The dataset includes binary labels indicating the binding or non-binding of diverse VHH sequences to wild type and 30 mutants of the IL-6 protein.
This dataset enables the evaluation of computational models for predicting nanobody binding to different IL-6 protein variants, which is important for developing therapeutic antibodies against IL-6-related diseases and understanding antibody specificity.
The data was collected from experiments with an alpaca immunized with human IL-6 protein. Binding assays were conducted to determine whether specific VHH sequences bind to wild-type IL-6 and its mutant variants. Further details are described in the paper "AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions."
The dataset is strategically split into training, validation, and test sets to evaluate model generalization:
| Column | Description |
|---|---|
| VHH_sequence | Amino acid sequence of VHH |
| Ag_label | Antigen Type |
| label | Binary label represented by 1 for binding pair and 0 for non-binding pair |
| subject_species | Species of the subject from which VHH was collected |
| subject_name | Name of the subject from which VHH was collected |
| subject_sex | Sex of the subject from which VHH was collected |
precomputed antigen sequence embeddings through ESM-2 (650M)
Model performance is evaluated using: