code: def parse_netmhcpan3_stdout(
          stdout,
          prediction_method_name="netmhcpan",
          sequence_key_mapping=None):
      
  
      # the offset specified in "pos" (at index 0) is 1-based instead of 0-based. we adjust it to be
      # 0-based, as in all the other netmhc predictors supported by this library.
      transforms = {
          0: lambda x: int(x) - 1,
      }
      return parse_stdout(
          stdout=stdout,
          prediction_method_name=prediction_method_name,
          sequence_key_mapping=sequence_key_mapping,
          key_index=10,
          offset_index=0,
          peptide_index=2,
          allele_index=1,
          ic50_index=12,
          rank_index=13,
          log_ic50_index=11,
          transforms=transforms)
docs: # Rank Threshold for Strong binding peptides   0.500
      # Rank Threshold for Weak binding peptides   2.000
      -----------------------------------------------------------------------------------
      Pos          HLA         Peptide       Core Of Gp Gl Ip Il        Icore        Identity   Score Aff(nM)   %Rank  BindLevel
      -----------------------------------------------------------------------------------
      1  HLA-B*18:01        MFCQLAKT  MFCQLAKT-  0  0  0  8  1     MFCQLAKT     sequence0_0 0.02864 36676.0   45.00
      2  HLA-B*18:01        FCQLAKTY  F-CQLAKTY  0  0  0  1  1     FCQLAKTY     sequence0_0 0.07993 21056.5   13.00