code: def predict_peptides(self, peptides):
          
  
          # importing locally to avoid slowing down CLI applications which
          # don't use MHCflurry
          from mhcflurry.encodable_sequences import EncodableSequences
  
          binding_predictions = []
          encodable_sequences = EncodableSequences.create(peptides)
          for allele in self.alleles:
              predictions_df = self.predictor.predict_to_dataframe(
                  encodable_sequences, allele=allele)
              for (_, row) in predictions_df.iterrows():
                  binding_prediction = BindingPrediction(
                      allele=allele,
                      peptide=row.peptide,
                      affinity=row.prediction,
                      percentile_rank=(
                          row.prediction_percentile
                          if 'prediction_percentile' in row else nan),
                      prediction_method_name="mhcflurry"
                  )
                  binding_predictions.append(binding_prediction)
          return BindingPredictionCollection(binding_predictions)
docs: Predict MHC affinity for peptides.