Struct2graph: a graph attention network for structure based predictions of protein-protein interactions

HIGHLIGHTS

  • who: Mayank Baranwal from the Institute of Technology, Bombay, India have published the paper: Struct2Graph: a graph attention network for structure based predictions of protein-protein interactions, in the Journal: (JOURNAL)
  • what: This study shows that a relatively low-dimensional feature embedding learned from graph structures of individual proteins outperforms other modern machine learning classifiers based on global protein features. The authors make the first step toward a generalized method to assess supramolecular interactions of proteins with other nanostructures. The authors develop a mutual graph attention network and a corresponding computational tool, Struct2Graph, to predict . . .

     

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