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# This CITATION.cff file was generated with cffinit. | ||
# Visit https://bit.ly/cffinit to generate yours today! | ||
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cff-version: 1.2.0 | ||
title: DeepRank-GNN | ||
message: >- | ||
If you use this software, please cite it using the | ||
metadata from this file. | ||
type: software | ||
authors: | ||
- given-names: Manon | ||
family-names: Réau | ||
email: manon.reau@gmail.com | ||
affiliation: Utrecht University | ||
orcid: 'https://orcid.org/0000-0002-3862-8990' | ||
- given-names: Nicolas | ||
family-names: Renaud | ||
email: nicolas.gm.renaud@gmail.com | ||
affiliation: Netherlands eScience Center | ||
orcid: 'https://orcid.org/0000-0001-9589-2694' | ||
identifiers: | ||
- type: url | ||
value: '' | ||
description: 'https://github.com/DeepRank/Deeprank-GNN' | ||
repository-code: 'https://github.com/DeepRank/Deeprank-GNN' | ||
url: 'https://deeprank-gnn.readthedocs.io/' | ||
abstract: >- | ||
DeepRank-GNN allows ranking of Protein-protein | ||
Interface using a graph representation of the | ||
contact residues. Graphs of such interfaces are | ||
used to train graph neural network for the | ||
prediction of the experimental validity of the | ||
interface. | ||
keywords: | ||
- graph neural network | ||
- protein-protein interface | ||
license: Apache-2.0 |
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__version__ = '0.1.3' | ||
__version__ = '0.1.4' |