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Package Description

Project description

SUMOnet

SUMOnet that take the peptide sequence centered on the candidate SUMOylation site as input and predict whether the lysine could be SUMOylated

Quick Install

pip install sumonet

Requirements

We strongly recomment using virtual environment for these package requirements.

All packages will be installed automatically by pip.

The following package versions were used to get evaluation results in our paper.

python 3.6.6
numpy 1.19.5
scikit-learn 0.24.2
joblib 1.0.0
pandas 1.0.5
tensorflow 2.4.0
keras 2.3.1
loguru 0.7.2

Detailed Tutorial For Use Cases

Please visit our Tutorial Page

Citation

If you use SUMOnet in your work, please do cite us:

Dilekoglu, B., Tastan, O.: Sumonet: Deep sequential prediction of sumoylation sites. bioRxiv (2023).

License

Academic Free License ("AFL") v. 3.0

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