Research Article

ModEnzA: Accurate Identification of Metabolic Enzymes Using Function Specific Profile HMMs with Optimised Discrimination Threshold and Modified Emission Probabilities

Table 1

Genome-wide enzyme identification for three bacterial genomes (E. coli, B. aphidicola, and M. pneumoniae) and one eukaryotic genome (P. falciparum) by ModEnzA and EFICAz.

MethodsEFICAzModEnzA(Tier I)ModEnzA(Tier I+II)

Annotation benchmarkHAMAP

E. coli
 Sequences1012859 (1051)902 (1021)930 (1082)
 Sensitivity84.8889.1391.89
 Specificity81.7388.3485.95
 EC numbers755653 (728)663 (697)699 (775)
 Sensitivity86.4987.8192.58
 Specificity89.6995.1290.19
B. aphidicola
 Sequences273257 (273)264 (271)265 (273)
 Sensitivity94.1396.797.07
 Specificity94.1397.4197.07
 EC numbers245226 (238)225 (229)225 (233)
 Sensitivity92.2491.8391.83
 Specificity94.9598.2596.56
M. pneumoniae
 Sequences147119 (149)126 (139)126 (139)
 Sensitivity80.9585.7185.71
 Specificity79.8690.6490.64
 EC numbers127101 (122)115 (122)115 (122)
 Sensitivity79.5290.5590.55
 Specificity82.7894.2694.26

Annotation benchmarkPlasmoDB

P. falciparum
 Sequences771341 (480)350 (415)358 (431)
 Sensitivity44.2245.3946.43
 Specificity71.0484.3383.06
 EC numbers410217 (247)212 (234)215 (242)
 Sensitivity52.9251.752.43
 Specificity87.8590.5988.84

Numbers within parentheses indicate the total number of sequences or EC numbers identified by each method.