jxliu2/idiom-db
IDiom-DB IDiom-DB-v1 is a dataset of 54M predicted intrinsically disordered protein regions (IDRs) curated from the AlphaFold Database (see Dataset curation) and used to train IDiom. This repository also contains generated, reference, and example sequences used in the preprint and IDiom GitHub repository. Preprint | IDiom GitHub | IDiom Models IDRs within full length proteins The dataset contains 54,155,136 IDR… See the full description on the dataset page: https://huggingface.co/datasets/jxliu2/idiom-db.
| Author / organization | jxliu2 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 251 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 1 September 2026 |
| Last updated at source | 2 October 2026 |
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251 now (+14 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- jxliu2/idiom-85MModel · used to train
- Generative modeling of intrinsically disordered protein regions by reinforcing sparse autoencoder featuresPaper · cites
- jxliu2/idiom-20MModel · used to train
- jxliu2/idiom-300MModel · used to train
Related papers
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