ZYMScott/vhh_affinity-seq
Nanobody (VHH) Affinity Prediction Dataset Dataset Overview This dataset helps predict the binding affinity between nanobodies (VHH, single-domain antibodies from camelids) and their target antigens. Affinity is a key parameter that measures how strongly an antibody binds to its antigen, usually expressed as dissociation constant (KD) or binding free energy. High affinity is a critical property for therapeutic antibodies, so accurately predicting nanobody affinity… See the full description on the dataset page: https://huggingface.co/datasets/ZYMScott/vhh_affinity-seq.
| Author / organization | ZYMScott |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 232 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 24 April 2025 |
| Last updated at source | 1 May 2025 |
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Recent changes
- 16 Oct 2026 Description: Nanobody (VHH) Affinity Prediction Dataset Dataset Overview This dataset helps predict the binding affinity between nanobodies (VHH, single-domain antibodies from camelids) and their target antigens. Affinity is a key parameter that measure → Nanobody (VHH) Affinity Prediction Dataset Dataset Overview This dataset helps predict the binding affinity between nanobodies (VHH, single-domain antibodies from camelids) and their target antigens. Affinity is a key parameter that measure
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