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AlphaFold-multimer predicts ATG8 protein binding motifs crucial for autophagy research.

Hallvard Lauritz OlsvikTerje Johansen
Published in: PLoS biology (2023)
In this issue of PLOS Biology, Ibrahim and colleagues demonstrate how AlphaFold-multimer, an artificial intelligence-based structure prediction tool, can be used to identify sequence motifs binding to the ATG8 family of proteins central to autophagy.
Keyphrases
  • artificial intelligence
  • cell death
  • machine learning
  • endoplasmic reticulum stress
  • big data
  • deep learning
  • signaling pathway
  • oxidative stress
  • binding protein
  • protein protein
  • transcription factor