Figure 2From: VirulentPred: a SVM based prediction method for virulent proteins in bacterial pathogensVirulentPred predictions in the various ranges of SVM scores. For generating the plot, 367 sequences of both the independent datasets (consisting of 181 virulent and 186 non-virulent proteins) were classified using VirulentPred. The number of false positive prediction was very high at a threshold SVM scores in the range 0.8 to 1.1. Hence, to reduce false positive prediction, a stringent criterion of threshold value of ≥1 was used for the annotation of complete proteomes of pathogens.Back to article page