𧬠BioReason-Pro Protein CatalogueFunctional Annotations for 223K+ Proteins
8
5 commits
1 linked in READMEs
updated Apr 1, 2026
Pre-computed functional annotations for over 223,000 proteins generated by BioReason-Pro SFT. Each entry contains a structured reasoning trace, functional summary, UniProt summary, InterPro domain annotations, and Gene Ontology (GO) term predictions across molecular function, biological process, and cellular component.
Browse the catalogue interactively at bioreason.net.
| Column | Type | Description |
|---|---|---|
protein_id | string | Protein identifier (e.g. UniProt accession) |
protein | string | Amino acid sequence |
organism | string | Source organism |
model | string | Model used to generate the annotation (e.g. SFT) |
generation | string | Full model output including <think> reasoning trace and structured functional annotations |
The generation column contains the raw model output in the following structure:
<think>
[Detailed biological reasoning trace]
</think>
- Functional Summary: [Concise functional description]
- UniProt Summary: [Brief UniProt-style summary]
- InterPro:
- IPR000000: Domain name (type) [start-end]
- Molecular Function:
- GO:0000000 function name
- Biological Process:
- GO:0000000 process name
- Cellular Component:
- GO:0000000 component name
from datasets import load_dataset
ds = load_dataset("wanglab/protein_catalogue", split="train")
print(ds[0])
If you find this work useful, please cite our papers:
@article {Fallahpour2026.03.19.712954,
author = {Fallahpour, Adibvafa and Seyed-Ahmadi, Arman and Idehpour, Parsa and Ibrahim, Omar and Gupta, Purav and Naimer, Jack and Zhu, Kevin and Shah, Arnav and Ma, Shihao and Adduri, Abhinav and G{\"u}loglu, Talu and Liu, Nuo and Cui, Haotian and Jain, Arihant and de Castro, Max and Fallahpour, Amirfaham and Cembellin-Prieto, Antonio and Stiles, John S. and Nem{\v c}ko, Filip and Nevue, Alexander A. and Moon, Hyungseok C. and Sosnick, Lucas and Markham, Olivia and Duan, Haonan and Lee, Michelle Y. Y. and Salvador, Andrea F. M. and Maddison, Chris J. and Thaiss, Christoph A. and Ricci-Tam, Chiara and Plosky, Brian S. and Burke, Dave P. and Hsu, Patrick D. and Goodarzi, Hani and Wang, Bo},
title = {BioReason-Pro: Advancing Protein Function Prediction with Multimodal Biological Reasoning},
elocation-id = {2026.03.19.712954},
year = {2026},
doi = {10.64898/2026.03.19.712954},
publisher = {Cold Spring Harbor Laboratory},
URL = {https://www.biorxiv.org/content/early/2026/03/20/2026.03.19.712954},
eprint = {https://www.biorxiv.org/content/early/2026/03/20/2026.03.19.712954.full.pdf},
journal = {bioRxiv}
}
@misc{fallahpour2025bioreasonincentivizingmultimodalbiological,
title={BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model},
author={Adibvafa Fallahpour and Andrew Magnuson and Purav Gupta and Shihao Ma and Jack Naimer and Arnav Shah and Haonan Duan and Omar Ibrahim and Hani Goodarzi and Chris J. Maddison and Bo Wang},
year={2025},
eprint={2505.23579},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2505.23579},
}
𧬠BioReason-Pro Protein CatalogueFunctional Annotations for 223K+ Proteins
8
5 commits
1 linked in READMEs
updated Apr 1, 2026
Pre-computed functional annotations for over 223,000 proteins generated by BioReason-Pro SFT. Each entry contains a structured reasoning trace, functional summary, UniProt summary, InterPro domain annotations, and Gene Ontology (GO) term predictions across molecular function, biological process, and cellular component.
Browse the catalogue interactively at bioreason.net.
| Column | Type | Description |
|---|---|---|
protein_id | string | Protein identifier (e.g. UniProt accession) |
protein | string | Amino acid sequence |
organism | string | Source organism |
model | string | Model used to generate the annotation (e.g. SFT) |
generation | string | Full model output including <think> reasoning trace and structured functional annotations |
The generation column contains the raw model output in the following structure:
<think>
[Detailed biological reasoning trace]
</think>
- Functional Summary: [Concise functional description]
- UniProt Summary: [Brief UniProt-style summary]
- InterPro:
- IPR000000: Domain name (type) [start-end]
- Molecular Function:
- GO:0000000 function name
- Biological Process:
- GO:0000000 process name
- Cellular Component:
- GO:0000000 component name
from datasets import load_dataset
ds = load_dataset("wanglab/protein_catalogue", split="train")
print(ds[0])
If you find this work useful, please cite our papers:
@article {Fallahpour2026.03.19.712954,
author = {Fallahpour, Adibvafa and Seyed-Ahmadi, Arman and Idehpour, Parsa and Ibrahim, Omar and Gupta, Purav and Naimer, Jack and Zhu, Kevin and Shah, Arnav and Ma, Shihao and Adduri, Abhinav and G{\"u}loglu, Talu and Liu, Nuo and Cui, Haotian and Jain, Arihant and de Castro, Max and Fallahpour, Amirfaham and Cembellin-Prieto, Antonio and Stiles, John S. and Nem{\v c}ko, Filip and Nevue, Alexander A. and Moon, Hyungseok C. and Sosnick, Lucas and Markham, Olivia and Duan, Haonan and Lee, Michelle Y. Y. and Salvador, Andrea F. M. and Maddison, Chris J. and Thaiss, Christoph A. and Ricci-Tam, Chiara and Plosky, Brian S. and Burke, Dave P. and Hsu, Patrick D. and Goodarzi, Hani and Wang, Bo},
title = {BioReason-Pro: Advancing Protein Function Prediction with Multimodal Biological Reasoning},
elocation-id = {2026.03.19.712954},
year = {2026},
doi = {10.64898/2026.03.19.712954},
publisher = {Cold Spring Harbor Laboratory},
URL = {https://www.biorxiv.org/content/early/2026/03/20/2026.03.19.712954},
eprint = {https://www.biorxiv.org/content/early/2026/03/20/2026.03.19.712954.full.pdf},
journal = {bioRxiv}
}
@misc{fallahpour2025bioreasonincentivizingmultimodalbiological,
title={BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model},
author={Adibvafa Fallahpour and Andrew Magnuson and Purav Gupta and Shihao Ma and Jack Naimer and Arnav Shah and Haonan Duan and Omar Ibrahim and Hani Goodarzi and Chris J. Maddison and Bo Wang},
year={2025},
eprint={2505.23579},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2505.23579},
}