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---
language: rna
tags:
- Biology
- RNA
license:
- agpl-3.0
size_categories:
- 1K<n<10K
source_datasets:
- multimolecule/rfam
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
pretty_name: bpRNA-new
library_name: multimolecule
---
# bpRNA-new
bpRNA-new is a database of single molecule secondary structures annotated using bpRNA.
bpRNA-new is a dataset of RNA families from Rfam 14.2, designed for cross-family validation to assess generalization capability.
It focuses on families distinct from those in [bpRNA-1m](../bprna), providing a robust benchmark for evaluating model performance on unseen RNA families.
## Disclaimer
This is an UNOFFICIAL release of the bpRNA-new by Kengo Sato, et al.
**The team releasing bpRNA-new did not write this dataset card for this dataset so this dataset card has been written by the MultiMolecule team.**
## Dataset Description
- **Homepage**: https://multimolecule.danling.org/datasets/bprna-new
- **datasets**: https://huggingface.co/datasets/multimolecule/bprna-new
- **Point of Contact**: [Kengo Sato](mailto:satoken@bio.keio.ac.jp)
## Related Datasets
- [bpRNA-1m](https://huggingface.co/datasets/multimolecule/bprna): A database of single molecule secondary structures annotated using bpRNA.
- [bpRNA-spot](https://huggingface.co/datasets/multimolecule/bprna-spot): A subset of bpRNA-1m that applies [CD-HIT (CD-HIT-EST)](https://sites.google.com/view/cd-hit) to remove sequences with more than 80% sequence similarity from bpRNA-1m.
- [ArchiveII](https://huggingface.co/datasets/multimolecule/archiveii): A database of RNA secondary with the same families as RNAStrAlign, usually used for testing.
## License
This dataset is licensed under the [AGPL-3.0 License](https://www.gnu.org/licenses/agpl-3.0.html).
```spdx
SPDX-License-Identifier: AGPL-3.0-or-later
```
## Citation
```bibtex
@article{sato2021rna,
author = {Sato, Kengo and Akiyama, Manato and Sakakibara, Yasubumi},
journal = {Nature Communications},
month = feb,
number = 1,
pages = {941},
publisher = {Springer Science and Business Media LLC},
title = {{RNA} secondary structure prediction using deep learning with thermodynamic integration},
volume = 12,
year = 2021
}
```
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