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. 2019 Feb 14;10:113. doi: 10.3389/fimmu.2019.00113

Table 1.

Synoptic summary of the main characteristics of the six programs tested.

Tool Category PVC selection criterion Advantage Disadvantage Number of studies that used the tool
NERVE Decision-tree No cytoplasmatic protein < 2 transmembrane helices High adhesin probability No homology with human proteins Input and output data are automatically structured in a database Not updated 4
VaxiJen Machine-learning Output probability greater than a cut-off (0.5) Very fast Graphical interface Fixed training datasets (100 known bacterial antigens, 100 putative non-antigens) 20
Vaxign Decision-tree No cytoplasmatic protein < 2 transmembrane helices High adhesin probability No homology with human and mouse proteins Regularly maintained Easy to use and intuitive Download of the results is limited to 500 proteins 18
Jenner-predict Decision-tree No cytoplasmatic protein < 2 transmembrane helices Presence of Pfam domains involved in host-pathogen interaction and pathogenesis Upload and download of large datasets Temporarily unavailable 1
Bowman-Heinson Machine-learning Output probability greater than a cut-off (0.5) Larger training set (200 known bacterial antigens, 200 putative non-antigens) Annotation tools for eukaryotes used for bacterial proteins Pipeline not delivered 0
VacSol Decision-tree No cytoplasmatic protein < 2 transmembrane helices No homology with human proteins Essential gene Virulence factor User-friendly interface Too restrictive 0