| --- |
| license: cc-by-nc-4.0 |
| tags: |
| - biology |
| - bioinformatics |
| - peptide |
| - anti-aging |
| - skin |
| - protein |
| - protbert |
| - classification |
| library_name: pytorch |
| --- |
| |
| # iASAP-Fuse Weights |
|
|
| Pre-trained weights for **iASAP-Fuse**, a deep-learning model that predicts the |
| anti-skin-aging activity of peptides by fusing ProtBERT contextual embeddings |
| with engineered Z-scale physicochemical descriptors. |
|
|
| The companion code, CLI and local web UI are released as the Python package |
| **`iasapfuse`** on the project's GitHub repository. |
|
|
| ## Model summary |
|
|
| - **Task**: binary classification (anti-skin-aging peptide / non anti-skin-aging peptide) |
| - **Backbone**: [Rostlab/prot_bert](https://huggingface.co/Rostlab/prot_bert) (frozen feature extractor) |
| - **Head**: fusion network combining ProtBERT [CLS] embeddings + Z-scale descriptors |
| - **Training**: 10-fold cross-validation, Stochastic Weight Averaging (SWA) per fold |
| - **Ensemble**: prediction-time average over 10 folds, calibrated with the saved `stats.json` |
|
|
| ## Files |
|
|
| ``` |
| . |
| ├── stats.json # ensemble normalisation / threshold metadata |
| ├── fold_1/ |
| │ ├── best_swa.pt # SWA model weights |
| │ └── metrics_final.json # held-out fold metrics |
| ├── fold_2/ |
| │ ├── best_swa.pt |
| │ └── metrics_final.json |
| ├── ... |
| └── fold_10/ |
| ├── best_swa.pt |
| └── metrics_final.json |
| ``` |
|
|
| All `.pt` files are PyTorch state dicts intended to be loaded by |
| `iasapfuse.inference`. |
|
|
| ## How to use |
|
|
| ### Option 1 — via the `iasapfuse` CLI (recommended) |
|
|
| ```bash |
| pip install iasapfuse # or install from source |
| iasapfuse weights download \ |
| --repo-id YudoX/iASAP-Fuse-weights \ |
| --target-dir ./weights |
| iasapfuse predict examples/predict_sequences.csv --device cpu |
| ``` |
|
|
| ### Option 2 — via `huggingface_hub` |
| |
| ```python |
| from huggingface_hub import snapshot_download |
| |
| snapshot_download( |
| repo_id="YudoX/iASAP-Fuse-weights", |
| local_dir="./weights", |
| allow_patterns=["fold_*/*.pt", "fold_*/*.json", "stats.json"], |
| ) |
| ``` |
| |
| ## License |
|
|
| The weights are released under **CC BY-NC 4.0** (Attribution–NonCommercial 4.0 |
| International). Academic and non-commercial research use is permitted with |
| attribution. Commercial use requires separate permission from the authors. |
|
|
| ## Citation |
|
|
| A formal BibTeX entry will be added once the paper is published. |
|
|
| ## Disclaimer |
|
|
| These weights are intended for research only. They are **not** validated for |
| clinical, diagnostic, cosmetic-product or any production use. |
|
|
