Deep learning of protein sequence design of protein-protein interactions

HIGHLIGHTS

• who: Bioinformatics et al. from the Department of Pharmaceutical and Biomedical Sciences, University of Georgia, Athens, GA, USA and Institute of have published the paper: Deep learning of protein sequence design of protein-protein interactions, in the Journal: (JOURNAL)
• what: The model is intended to be applied on de novo interface fragments, or u2018motifs`, which can then be grafted into scaffolding proteins.
• how: The authors developed an attention-based deep learning model inspired by algorithms used for image-caption assignments to design peptides or protein fragment sequences. Based on these inspiring results the . . .
  

   

  

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