paccanarolab / S2F

S2F: protein function without experiments

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S2F (Sequence to Function)

A protein function prediction tool that takes only the sequences as input

About S2F

S2F brings the power of label propagation in biological networks for prediciting protein function for newly sequenced organisms. You can read more about S2F in the project's website.

Documentation

On the Wiki of this repository, we have documentation that will get you started with S2F:

Setup

Common use cases

Citation

If you use S2F, please cite:

@article{torres_protein_2021,
	title = {Protein function prediction for newly sequenced organisms},
	volume = {3},
	issn = {2522-5839},
	url = {https://www.nature.com/articles/s42256-021-00419-7},
	doi = {10.1038/s42256-021-00419-7},
	language = {en},
	number = {12},
	urldate = {2022-02-17},
	journal = {Nature Machine Intelligence},
	author = {Torres, Mateo and Yang, Haixuan and Romero, Alfonso E. and Paccanaro, Alberto},
	month = dec,
	year = {2021},
	pages = {1050--1060},
}

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S2F: protein function without experiments

License:MIT License


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