Metadata-Version: 2.4
Name: mave2imap
Version: 1.0.0
Summary: This project is intended for infering and mapping interface hotspots based on results from MAVE (Multiplexed Assays of Variant Effects).
Author-email: Aravindan Arun Nadaradjane <arunnatrajanravi@gmail.com>, Juan Pablo Guzmán Álvarez <jpguz0709@hotmail.com>, "Oscar H.P. Ramos" <oscar.pereira-ramos@cea.fr>, Raphael Guerois <raphael.guerois@cea.fr>
License-Expression: MIT
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: async-lru==2.0.4
Requires-Dist: h11==0.14.0
Requires-Dist: httpcore==1.0.7
Requires-Dist: httpx==0.28.1
Requires-Dist: jupyter-lsp==2.2.5
Requires-Dist: jupyterlab==4.3.4
Requires-Dist: kaleido==0.2.1
Requires-Dist: nglview==3.1.2
Requires-Dist: notebook==7.3.2
Requires-Dist: h5py==3.11.0
Dynamic: license-file

mave2imap
==============================
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This project is intended for infering and mapping interface hotspots based on results from MAVE (Multiplexed Assays of Variant Effects).

### Copyright

Copyright (c) 2025, Oscar H.P. Ramos (CEA, DRF/Joliot/MTS/SIMoS/LICB/SBE)


#### Acknowledgements
 
Project based on the 
[Computational Molecular Science Python Cookiecutter](https://github.com/molssi/cookiecutter-cms) version 1.11.
