@article{open594,
          volume = {409},
          author = {Sudipto Saha and G.P.S. Raghava},
            note = {Book Title: Immunoinformatics : Predicting Immunogenicity In Silico
Copyright of this article belongs to Springer Science},
           title = {Predicting virulence factors of immunological interest.},
       publisher = {Springer Science},
         journal = {Methods in molecular biology (Clifton, N.J.)},
           pages = {407--15},
            year = {2007},
        keywords = { Virulence factors - bacterial toxins - exotoxins - endotoxins - toxoid - toxin-neutralizing antibodies - neurotoxins - vaccine},
             url = {http://crdd.osdd.net/open/594/},
        abstract = {In this chapter, three prediction servers used for predicting virulence factors, bacterial toxins, and neurotoxins have been described. VICMpred server predicts the functional proteins of gram-negative bacteria that include virulence factors, information molecule, cellular process, and metabolism molecule. BTXpred server allows users to predict bacterial toxins, its release, and further classification of exotoxins. NTXpred server allows prediction of neurotoxins and further classifying them based on their function and source.}
}