Deeprank-gnn: a graph neural network framework to learn patterns in protein-protein interfaces

HIGHLIGHTS

• who: Bioinformatics et al. from the Computational Biology Group, Department of Chemistry, Bijvoet Centre, Faculty of Science, Utrecht University, Utrecht Biomolecular Informatics, Radboudumc, Nijmegen , GA, The Netherlands have published the Article: DeepRank-GNN: a graph neural network framework to learn patterns in protein-protein interfaces, in the Journal: (JOURNAL)
• what: To the highly competitive performance obtained in those tasks as compared to state-of-the-art methods the authors show a significant improvement in speed and storage requirement using DeepRank-GNN as compared to DeepRank. The authors demonstrate the use of DeepRank-GNN to score . . .
  

   

  

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