HIGHLIGHTS
- who: Osama Abdin from the University of have published the research work: PepNN: a deep attention model for the identification of peptide binding sites, in the Journal: (JOURNAL) of 14/02/2022
- what: The authors develop an architecture that is partially inspired by the Transformer a model that primarily consists of repeated multi-head attention modules18. These results suggest that while providing a known peptide can increase model accuracy the model can make reasonable peptide-agnostic predictions and could potentially be used to identify novel peptide binders.
- how: The authors integrate the use . . .
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