Prediction of protein-ligand binding affinity from sequencing data with interpretable machine learning

HIGHLIGHTS

• who: H. Tomas Rube from the DepartmentUniversity of have published the research: Prediction of protein-ligand binding affinity from sequencing data with interpretable machine learning, in the Journal: (JOURNAL) of 23/05/2022
• what: Learning methylation-aware TF binding models Next the authors focused on another variable affecting in vivo binding: DNA methylation. As a proof of concept the authors focused on a process critical to many signal transduction pathways in the cell: the phosphorylation of tyrosine residues on proteins.
• how: The model consists of the inferred energy logos for the monomeric and . . .
  

   

  

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