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Table 2 Performance evaluation for some functional classes

From: A method for probabilistic mapping between protein structure and function taxonomies through cross training

Class Name FP Rate Precision Recall F-measure
Immunoglobulins and MHC protein 0.002 0.765 0.619 0.684
Ig-like domain profile 0.005 0.547 0.343 0.422
Cytochome c family, heme-binding site signature 0 0.988 0.908 0.946
Globins family 0.002 0.792 0.623 0.697
Pyridine nucleotide-disulphide oxidoreductases c-I 0.001 0.704 0.559 0.623
Serine protease trypsin family 0.001 0.918 0.789 0.848
ATP dependent helicases signatures 0.002 0.52 0.419 0.464
Phospholipase A2 active site signature 0 1 0.862 0.926
Nuclear hormones receptors DNA-binding 0.003 0.667 0.561 0.61
  1. Performance evaluation while trying to classify functional classes using structural classes as the features. The high F-measure values (Equation 1) indicate that the function is strongly dependent on the structure that the protein has. F-measure was calculated as the harmonic mean between Recall and Precision. Class-name refers to domain in PROSITE database. Highly significant F-measure values are shown in bold.