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Running
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jadechoghari
commited on
Commit
•
e9c831c
1
Parent(s):
d4e347d
add boltz
Browse files- .gitignore +162 -0
- LICENSE +21 -0
- README.md +65 -13
- __init__.py +0 -0
- app.py +10 -11
- pyproject.toml +78 -0
.gitignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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# Distribution / packaging
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dist/
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downloads/
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eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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# Flask stuff:
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instance/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
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.pdm.toml
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.pdm-python
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.pdm-build/
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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LICENSE
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MIT License
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Copyright (c) 2024 Jeremy Wohlwend, Gabriele Corso, Saro Passaro
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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<h1 align="center">Boltz-1:
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Democratizing Biomolecular Interaction Modeling
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</h1>
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![](docs/boltz1_pred_figure.png)
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Boltz-1 is an open-source model which predicts the 3D structure of proteins, rna, dna and small molecules; it handles modified residues, covalent ligands and glycans, as well as condition the generation on pocket residues.
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For more information about the model, see our [technical report](https://gcorso.github.io/assets/boltz1.pdf).
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## Installation
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Install boltz with PyPI (recommended):
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```
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pip install boltz
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```
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or directly from GitHub for daily updates:
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```
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git clone https://github.com/jwohlwend/boltz.git
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cd boltz; pip install -e .
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```
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> Note: we recommend installing boltz in a fresh python environment
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## Inference
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You can run inference using Boltz-1 with:
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```
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boltz predict input_path
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```
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Boltz currently accepts three input formats:
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1. Fasta file, for most use cases
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2. A comprehensive YAML schema, for more complex use cases
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3. A directory containing files of the above formats, for batched processing
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To see all available options: `boltz predict --help` and for more informaton on these input formats, see our [prediction instructions](docs/prediction.md).
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## Training
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If you're interested in retraining the model, see our [training instructions](docs/training.md).
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## Contributing
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We welcome external contributions and are eager to engage with the community. Connect with us on our [Slack channel](https://boltz-community.slack.com/archives/C0818M6DWH2) to discuss advancements, share insights, and foster collaboration around Boltz-1.
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## Coming very soon
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- [ ] Pocket conditioning support
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- [ ] More examples
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- [ ] Full data processing pipeline
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- [ ] Colab notebook for inference
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- [ ] Confidence model checkpoint
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- [ ] Support for custom paired MSA
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- [ ] Kernel integration
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## License
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Our model and code are released under MIT License, and can be freely used for both academic and commercial purposes.
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__init__.py
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app.py
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import gradio as gr
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import os
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from gradio_molecule3d import Molecule3D
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from boltz.main_test import predict # Import your predict function
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# Example Molecule3D representation settings
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reps = [
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{
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def run_prediction(input_file):
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# Assuming `input_file` is a Gradio `File` object
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data = input_file.name # Get the path to the uploaded .fasta file
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out_dir = "
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cache = "~/.boltz"
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accelerator = "cpu"
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sampling_steps =
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diffusion_samples = 1
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output_format = "pdb"
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predict(
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data=data,
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out_dir=out_dir,
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cache=cache,
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checkpoint=checkpoint,
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devices=devices,
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accelerator=accelerator,
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recycling_steps=recycling_steps,
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sampling_steps=sampling_steps,
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output_format=output_format,
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num_workers=num_workers,
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override=override,
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)
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# Fetch the generated PDB file
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import gradio as gr
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import os
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from gradio_molecule3d import Molecule3D
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import sys
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import os
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# from boltz.main_test import predict # Import your predict function
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current_dir = os.path.dirname(os.path.abspath(__file__))
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src_path = os.path.join(current_dir, "boltz", "src")
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sys.path.append(src_path)
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from boltz.main_test import predict # Import your predict function
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# from boltz.src.boltz.main_test import predict
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# Example Molecule3D representation settings
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reps = [
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{
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def run_prediction(input_file):
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# Assuming `input_file` is a Gradio `File` object
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data = input_file.name # Get the path to the uploaded .fasta file
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out_dir = "./predict" # Set your output directory
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cache = "~/.boltz"
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accelerator = "cpu"
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sampling_steps = 1
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diffusion_samples = 1
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output_format = "pdb"
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predict(
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data=data,
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out_dir=out_dir,
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accelerator=accelerator,
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sampling_steps=sampling_steps,
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output_format=output_format
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)
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# Fetch the generated PDB file
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[build-system]
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requires = ["setuptools >= 61.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "boltz"
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version = "0.1.0"
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requires-python = ">=3.9"
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description = "Boltz-1"
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10 |
+
readme = "README.md"
|
11 |
+
dependencies = [
|
12 |
+
"torch>=2.2",
|
13 |
+
"numpy==1.26.3",
|
14 |
+
"hydra-core==1.3.2",
|
15 |
+
"pytorch-lightning==2.4.0",
|
16 |
+
"rdkit==2024.3.6",
|
17 |
+
"dm-tree==0.1.8",
|
18 |
+
"requests==2.32.3",
|
19 |
+
"pandas==2.2.3",
|
20 |
+
"types-requests",
|
21 |
+
"einops==0.8.0",
|
22 |
+
"einx==0.3.0",
|
23 |
+
"fairscale==0.4.13",
|
24 |
+
"mashumaro==3.14",
|
25 |
+
"modelcif==1.2",
|
26 |
+
"wandb==0.18.7",
|
27 |
+
"click==8.1.7",
|
28 |
+
"pyyaml==6.0.2",
|
29 |
+
"biopython==1.84",
|
30 |
+
"scipy==1.13.1",
|
31 |
+
]
|
32 |
+
|
33 |
+
[project.scripts]
|
34 |
+
boltz = "boltz.main:cli"
|
35 |
+
|
36 |
+
[project.optional-dependencies]
|
37 |
+
lint = ["ruff"]
|
38 |
+
|
39 |
+
[tool.ruff]
|
40 |
+
src = ["src"]
|
41 |
+
extend-exclude = ["conf.py"]
|
42 |
+
target-version = "py39"
|
43 |
+
lint.select = ["ALL"]
|
44 |
+
lint.ignore = [
|
45 |
+
"COM812", # Conflicts with the formatter
|
46 |
+
"ISC001", # Conflicts with the formatter
|
47 |
+
"ANN101", # "missing-type-self"
|
48 |
+
"RET504", # Unnecessary assignment to `x` before `return` statementRuff
|
49 |
+
"S101", # Use of `assert` detected
|
50 |
+
"D100", # Missing docstring in public module
|
51 |
+
"D104", # Missing docstring in public package
|
52 |
+
"PT001", # https://github.com/astral-sh/ruff/issues/8796#issuecomment-1825907715
|
53 |
+
"PT004", # https://github.com/astral-sh/ruff/issues/8796#issuecomment-1825907715
|
54 |
+
"PT005", # https://github.com/astral-sh/ruff/issues/8796#issuecomment-1825907715
|
55 |
+
"PT023", # https://github.com/astral-sh/ruff/issues/8796#issuecomment-1825907715
|
56 |
+
"FBT001",
|
57 |
+
"FBT002",
|
58 |
+
"PLR0913", # Too many arguments to init (> 5)
|
59 |
+
]
|
60 |
+
|
61 |
+
[tool.ruff.lint.per-file-ignores]
|
62 |
+
"**/__init__.py" = [
|
63 |
+
"F401", # Imported but unused
|
64 |
+
"F403", # Wildcard imports
|
65 |
+
]
|
66 |
+
"docs/**" = [
|
67 |
+
"INP001", # Requires __init__.py but folder is not a package.
|
68 |
+
]
|
69 |
+
"scripts/**" = [
|
70 |
+
"INP001", # Requires __init__.py but folder is not a package.
|
71 |
+
]
|
72 |
+
|
73 |
+
[tool.ruff.lint.pyupgrade]
|
74 |
+
# Preserve types, even if a file imports `from __future__ import annotations`(https://github.com/astral-sh/ruff/issues/5434)
|
75 |
+
keep-runtime-typing = true
|
76 |
+
|
77 |
+
[tool.ruff.lint.pydocstyle]
|
78 |
+
convention = "numpy"
|