Protein-protein interaction prediction methods: from docking-based to ai-based approaches

HIGHLIGHTS

  • who: Yuko Tsuchiya from the Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), u20114u2011, Aomi, Kotou2011Ku, Tokyo, u20110064, Japan have published the paper: Protein-protein interaction prediction methods: from docking-based to AI-based approaches, in the Journal: (JOURNAL)
  • how: This review introduces a wide array of computational methods including the own for estimating PPIs including antibody- antigen interactions offering both historical and forward-looking perspectives. The authors showed that templatebased models based on profile-profile comparison methods are useful for predicting protein complexes even for MEDIUM/HARD targets . . .

     

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