ZYMScott/thermo-seq
Nanobody Thermal Stability Dataset Dataset Overview This dataset helps predict how stable nanobody sequences are at different temperatures. Thermal stability is important for nanobody engineering and applications, affecting how well they work in different environments. The dataset includes two types of stability measurements: Melting temperature (Tm): The temperature at which nanobodies start to unfold Sequence stability: Stability scores based on sequence… See the full description on the dataset page: https://huggingface.co/datasets/ZYMScott/thermo-seq.
| Author / organization | ZYMScott |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 396 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 24 April 2025 |
| Last updated at source | 1 May 2025 |
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396 now (+49 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Nanobody Thermal Stability Dataset Dataset Overview This dataset helps predict how stable nanobody sequences are at different temperatures. Thermal stability is important for nanobody engineering and applications, affecting how well they wo → Nanobody Thermal Stability Dataset Dataset Overview This dataset helps predict how stable nanobody sequences are at different temperatures. Thermal stability is important for nanobody engineering and applications, affecting how well they wo
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