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Table 1 Performance evaluation of Jenner-Predict server against existing software, NERVE, and web servers, Vaxign and VaxiJen *

From: Jenner-predict server: prediction of protein vaccine candidates (PVCs) in bacteria based on host-pathogen interactions

S. No. Different software and web servers Prediction in Prediction in $Protegen (bacterial) %Data used for VaxiJen server development
   S. pneumoniae # E. coli # No of predictions Sensitivity Positive data Negative data Sensitivity (Specificity)
1. NERVE 7 (18) [58] 21 (28) [527] 121 (177) 0.684 53 (83) 8 (33) 0.639 (0.758)
2. Vaxign 6 (18) [61] 18 (28) [286] 89 (177) 0.502 41 (83) 5 (33) 0.494 (0.848)
3. VaxiJen 3 (18) [313] 21 (28) [955] 97 (177) 0.548 46 (83) 3 (33) 0.554 (0.909)
4. Jenner-Predict 10 (18) [69] 23 (28) [253] 137 (177) 0.774 59 (83) 2 (33) 0.711 (0.940)
  1. * See method section for details.
  2. # Values within square bracket indicates total number of proteins vaccine candidates (PVCs) predicted by respective software/server. Value within parenthesis indicates experimentally known protective vaccine candidates in that organism whereas the values in bold give the number of PVCs predicted by respective software/server from experimentally known protective vaccine candidates in that organism.
  3. $ Values indicate the number of PVCs predicted by respective software/server from 177 bacterial protective antigens (PAs) taken for evaluation.
  4. % Values indicate the number of PVCs predicted by respective software/server from 83 and 33 proteins for positive and negative datasets, respectively.