Prediction of paratope–epitope pairs using convolutional neural networks

HIGHLIGHTS

• What: The authors focused on the prediction of paratope-epitope binding.
• Who: Dong Li and collaborators from the Interuniversity Institute of Bioinformatics in Brussels, Brussels, Belgium have published the paper: Prediction of Paratope-Epitope Pairs Using Convolutional Neural Networks, in the Journal: (JOURNAL)
• How: For this experiment the authors considered MSP1-19 from Plasmodium falciparum a parasite surface protein (PDB ID 1OB1) which is not found in the training set of ImaPEp. For each convolutional layer the authors used 32 kernels. For the initialization of the model parameters the authors used the Kaiming . . .
  

   

  

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