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title: InstaNovo De Novo Peptide Sequencing | |
emoji: ππ§ͺ | |
colorFrom: blue | |
colorTo: green | |
sdk: gradio | |
sdk_version: 5.23.1 | |
app_file: app.py | |
pinned: true | |
license: apache-2.0 | |
# InstaNovo _De Novo_ Peptide Sequencing Demo | |
This Space provides a web interface for the [InstaNovo](https://github.com/instadeepai/InstaNovo) model for _de novo_ peptide sequencing from mass spectrometry data. | |
**Features:** | |
* Upload MS/MS data in common formats (`.mgf`, `.mzml`, `.mzxml`). | |
* Choose between fast Greedy Search or more accurate but slower Knapsack Beam Search. | |
* View predictions directly in the interface. | |
* Download full results as a CSV file. | |
**How to Use:** | |
1. Upload your mass spectrometry data file. | |
2. Select the desired decoding method. | |
3. Click "Predict Sequences". | |
4. View the results table and download the CSV if needed. | |
**Model:** | |
This demo uses the `instanovo-v1.1.0` pretrained model checkpoint. | |
**Note:** Processing large files can take time, depending on the file size and the chosen decoding method. Knapsack generation (if needed on the first run) can also add to the initial startup time. |