---
license: cc-by-4.0
pretty_name: FireProtDB
size_categories:
  - 1M<n<10M
task_categories:
  - other
language:
  - en
tags:
  - biology
  - proteins
  - stability
  - mutation
  - fireprotdb
  - jsonl
---

# FireProtDB

FireProtDB protein stability mutation dataset, normalized to newline-delimited JSON with row-level provenance.

Processed and uploaded by the [MegaData](https://github.com/) post-download pipeline
(internal repo). Original source: <https://loschmidt.chemi.muni.cz/fireprotdb/>.

## Statistics

| | |
|---|---|
| Table files | 1 |
| Total rows | 5,465,660 |
| Total bytes | 8.48 GiB (9,105,270,725) |

## Tables

| Table | Rows | Bytes |
|---|---:|---:|
| `labeled_fireprotdb_fireprotdb_search_all.jsonl.jsonl` | 5,465,660 | 8.48 GiB |

## Layout

```
.
├── _MANIFEST.json                 # aggregate manifest (per-table counts)
└── tables/<source_slug>.jsonl    # normalized rows (one JSON object per line)
```

Each line in a `tables/*.jsonl` file is a JSON object with at least
`dataset_id`, `row` (the raw upstream row), `row_index`, and `source_file`
fields, so every row carries its upstream provenance.

## Loading

```bash
hf download LiteFold/FireProtDB --repo-type dataset --local-dir ./fireprotdb
```

Programmatic streaming:

```python
import json
from pathlib import Path
from huggingface_hub import snapshot_download

local = snapshot_download(repo_id="LiteFold/FireProtDB", repo_type="dataset")
for jsonl in sorted(Path(local, "tables").glob("*.jsonl")):
    with jsonl.open() as f:
        for line in f:
            row = json.loads(line)
            ...  # row["row"] is the upstream record
```

## License

CC BY 4.0 (FireProtDB).

## Citation

> Stourac J, et al. FireProtDB: database of manually curated protein stability data. Nucleic Acids Research, 49(D1):D319-D324, 2021.

## Provenance

Built from the local manifest entry `fireprotdb` of `manifests/atlas_download_plan.json`.
Pipeline source: `megadata-post normalize --dataset fireprotdb --tables-only`.