Geometric deep learning of protein–dna binding specificity

HIGHLIGHTS

• What: The authors demonstrate how DeepPBS can work in conjunction with structure prediction methods for predicting specificity for proteins without available experimental structures (Fig 3a-d). As an example, the authors show the DeepPBS ensemble prediction for the NF-κB biological assembly from the benchmark dataset. The authors show the RI scores (with min-max normalization applied) calculated for heavy atoms within 5 Å of the sym-helix (Fig 4a).
• Who: Raktim Mitra from the (UNIVERSITY) have published the paper: Geometric deep learning of protein-DNA binding specificity, in the Journal: (JOURNAL) of 13/08/2023 . . .
  

   

  

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