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DeepRank-GNN: a graph neural network framework to learn patterns in protein–protein interfaces
MOTIVATION: Gaining structural insights into the protein–protein interactome is essential to understand biological phenomena and extract knowledge for rational drug design or protein engineering. We have previously developed DeepRank, a deep-learning framework to facilitate pattern learning from pro...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805592/ https://www.ncbi.nlm.nih.gov/pubmed/36420989 http://dx.doi.org/10.1093/bioinformatics/btac759 |