title: Predicting virulence factors of immunological interest.
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.
authors.affiliation: Institute of Microbial Technology, Chandigarh, India.
authors.forename: Sudipto
authors.initials: S
authors.lastname: Saha
authors.forename: Gajendra P S
authors.initials: GP
authors.lastname: Raghava
mesh_terms: D001185:Artificial Intelligence; D001427:Bacterial Toxins / Q000276:immunology; D019295:Computational Biology; D006801:Humans; D007125:Immunogenetics; D020407:Internet; D009498:Neurotoxins / Q000276:immunology; D037521:Virulence Factors / Q000276:immunology*
chemical_list: D001427:Bacterial Toxins; D009498:Neurotoxins; D037521:Virulence Factors