LiteFold/MegaScale-Tsuboyama2023
MegaScale Tsuboyama 2023 Stability Advances in DNA sequencing and machine learning are providing insights into protein sequences and structures on an enormous scale. However, the energetics driving folding are invisible in these structures and remain largely unknown. The hidden thermodynamics of folding can drive disease, shape protein evolution and guide protein engineering, and new approaches are needed to reveal these thermodynamics for every sequence and structure. Here we… See the full description on the dataset page: https://huggingface.co/datasets/LiteFold/MegaScale-Tsuboyama2023.
| Author / organization | LiteFold |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 329 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 11 May 2026 |
| Last updated at source | 27 May 2026 |
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329 now (+5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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